text:
College News
PRIMA's Inaugural "Gilda's Cup" Raises $3,500 for Gilda's Club of Rochester
Members of the St. John Fisher College student-run integrated marketing communications firm, The PRIMA Group, hosted the first annual "Gilda's Cup" at Fisher and exceeded their expectations raising $3,500 for Gilda's Club of Rochester.
With over 100 in attendance, the evening showcased the talents of five improv comedy groups including Fisher, Buffalo State, State University of New York at Oswego, and two groups from the Rochester Institute of Technology. The winning improv team was determined by a vote from the audience and Fisher's own "Two Cardinals and Some Nuns" took the Gilda's Cup!
According to Kathleen Marchaesi-Ciaraldi, adjunct professor and advisor of PRIMA, the objectives of this event were twofold. Individuals between the ages of 18-24 have the highest rate of new cancer diagnoses in Monroe County, and the group wanted to increase awareness among college-aged students of the support Gilda's Club Rochester offers to anyone impacted by cancer. In addition, they wanted to raise funding to support the much-needed services Gilda's Club offers free of charge.
"What started as a teachable moment turned into a wonderful collaboration," said Bob Russell, Executive Director of Gilda's Club Rochester. "You have no idea how proud we are of this association with The PRIMA Group of St. John Fisher College. It was plain and simple, a very memorable evening to be part of."
Marchaesi-Ciaraldi said the 20 PRIMA students worked "incredibly hard" the last few months pulling together myriad details to ensure a successful event. She also said that the opportunity to work with a real client has proven to be a great learning experience.
"PRIMA is not an ordinary club on campus," said Chloe Smith '16, Creative Director for the group. "We're a working agency filled with tech junkies, aspiring marketing gurus, and hyper creatives who are passionate about what we do for our school and community."
Garrett Sisson '15 took the lead in coordinating the collegiate talent.
"This event was a great opportunity for a number of schools across New York to come together and put on a show for a great cause," said Sisson. "The groups loved being a part of the first-ever Gilda's Cup and are excited to battle for the cup next year."
Plans are already underway for "Gilda's Cup 2015."
Latest College News Stories
- April First Friday Lecture Explores Italian American Identity
- Students Plan 5K in Honor of Pharmacy Dean
- Fisher Students Earn Accolades at Annual Marketing Conference
- Hooding and Awards Ceremony Recognizes Doctoral Graduates at Fisher Extension Site
- Fisher Student's Passion for Airplanes Takes to New Heights
- Grant from Canandaigua National Bank & Trust Funds School of Business Scholarship
- College to Host First-Ever American Studies Undergraduate Research Conference
- Countdown to Commencement: Aidan Evans
- Preventing Youth Violence in Rochester Focus of Annual Trovato Lecture
- Jill Knittel '94, '03 (MBA) Honored as St. John Fisher College's Outstanding Accounting Alumnus of the Year
- Service-Learning Project Exposes PR Students to City Life
- Countdown to Commencement: Adrienne Aldridge-Kiner
- St. John Fisher College Names 7th President
- Kocher Wins Community Service Award
- Comedy Improv Competition Raises Funds for Gilda's Club


text:
Join the Movement
We respect your privacy.
Welcome to the Free Press blog! We post several times a week on everything from Internet access to free speech to media mergers, so check back often to see what we're up to.
There are many different yard sticks to measure the health and quality of a local news ecosystem. We track ad revenue and audience numbers. We count the number of news outlets and look at the number of newsroom job losses. We watch out for journalism innovators and interesting partnerships. But occasionally in all of these examinations we lose sight of the forest for the trees. Sometimes, it is best to examine the quality of the journalism itself.
Earlier this year Clay Shirky did a comprehensive "news biopsy" of his hometown newspaper, the Columbia Daily Tribune. After literally dissecting the paper and weighing its different pieces he found that:
In today's media landscape, where mega corporations run amuck, it's easy to forget that the airwaves belong to the public. But they do, and in return for the free use of this extraordinarily valuable public resource, station owners agree to serve the public by providing a certain amount of public interest programming.
When Barack Obama was running for president, he made Net Neutrality an issue -- pledging to defend the core values of a free and open Internet by assuring that all Americans would have equal access to all websites and to all the promise of this digital age.
For those keeping score, the phone and cable companies seem generally pleased with FCC Chairman Julius Genachowski's Net Neutrality proposal.
If any questions remain about with whom the chairman has sided in the debate, read on:
This morning, Federal Communications Commission Chairman Julius Genachowski announced that he will finally seek a vote on President Obama's top tech issue, "Net Neutrality." There's just one problem: According to the New York Times, it's not even close to the real Net Neutrality that President Obama promised the
January's devastating earthquake flooded Haiti with millions of dollars in foreign aid and hundreds of journalists from around the world. Ten months later, most of the reporters have left the country, but the donated money remains--and local groups are wondering how it's being spent.
Although the Haitian earthquake made the top headlines for weeks in the United States, the disaster-chasing media has been less excited about the clean-up efforts, or holding the approximately 10,000 nongovernmental organizations (NGOs) overrunning the country--and the government--accountable for the quality of the reconstruction.
In the past 24 hours Comcast has been exposed committing blatant abuses of its power over all things media.
Samsung's Galaxy Tab – the first major Android tablet to compete with the Apple iPad – has emerged. Unlike Apple's devices, Samsung is offering the Galaxy Tab through a range of carriers, including the Big Four: AT&T, Verizon Wireless, Sprint, and T-Mobile.
The 111th Congress only has a scant few days remaining before the doors shut and their legacy is complete. Seems like a good time to really get down to some of this "bipartisan" business that we've been hearing so much about.
Last night, more than 400 people attended a hearing on the Future of the Internet in Albuquerque to share their stories about living without broadband, as well as their concerns about losing free speech online, with Federal Communications Commissioner Michael Copps.
People + Policy
= Positive Change for the Public Good

subset: commoncrawl


text:
How can I crop an image in the center? Because I know that the box is a 4-tuple defining the left, upper, right, and lower pixel coordinate but I don't know how to get these coordinates so it crops in the center.
Take the 2-minute tour ×
Stack Overflow is a question and answer site for professional and enthusiast programmers. It's 100% free, no registration required.
Assuming you know the size you would like to crop to (new_width X new_height):
This will break if you attempt to crop a small image larger, but I'm going to assume you won't be trying that (Or that you can catch that case and not crop the image).


text:
The Leading eBooks Store Online
for Kindle Fire, Apple, Android, Nook, Kobo, PC, Mac, BlackBerry...
New to eBooks.com?Learn more
- Bestsellers - This Week
- Foreign Language Study
- Pets
- Bestsellers - Last 6 months
- Games
- Philosophy
- Archaeology
- Gardening
- Photography
- Architecture
- Graphic Books
- Poetry
- Art
- Health & Fitness
- Political Science
- Biography & Autobiography
- History
- Psychology & Psychiatry
- Body Mind & Spirit
- House & Home
- Reference
- Business & Economics
- Humor
- Religion
- Children's & Young Adult Fiction
- Juvenile Nonfiction
- Romance
- Computers
- Language Arts & Disciplines
- Science
- Crafts & Hobbies
- Law
- Science Fiction
- Current Events
- Literary Collections
- Self-Help
- Drama
- Literary Criticism
- Sex
- Education
- Literary Fiction
- Social Science
- The Environment
- Mathematics
- Sports & Recreation
- Family & Relationships
- Media
- Study Aids
- Fantasy
- Medical
- Technology
- Fiction
- Music
- Transportation
- Folklore & Mythology
- Nature
- Travel
- Food and Wine
- Performing Arts
- True Crime
- Foreign Language Books
Most popular at the top
Code OrangeRandom House Children's Books 2008; US$ 6.99
Walking around New York City was what Mitty Blake did best. He loved the city, and even after 9/11, he always felt safe. Mitty was a carefree guy?he didn?t worry about terrorists or blackouts or grades or anything, which is why he was late getting started on his Advanced Bio report. Mitty does feel a little pressure to hand something in?if he doesn?t,... more...
The Face on the Milk CartonRandom House Children's Books 2009; US$ 7.99
No one ever really paid close attention to the faces of the missing children on the milk cartons. But as Janie Johnson glanced at the face of the ordinary little girl with her hair in tight pigtails, wearing a dress with a narrow white collar--a three-year-old who had been kidnapped twelve years before from a shopping mall in New Jersey--she felt overcome... more...
A Friend at MidnightRandom House Children's Books 2008; US$ 8.99
Lily has settled into life in Connecticut after her parent's divorce but it's been harder on her eight-year-old brother Michael. After their mother remarries, her brother chooses to go live with his father in Washington, D.C., until the day he calls home from the Baltimore-Washington Airport where his father has abandoned him. Lily is home babysitting... more...
Hit the RoadRandom House Children's Books 2008; US$ 6.50
Brit has had her driver?s license only 11 days when her parents drop her off to stay at her grandmother?s house for two weeks while they go on vacation. Little do they know Brit is headed for a three-state road trip with Nannie to pick up her college roommates, Florence, Aurelia, and Daisy, and bring them to their alma mater for their 65th?and most... more...
If the Witness LiedRandom House Children's Books 2009; US$ 8.99
Choices do matter and forgiveness is possible. Jack Fountain knows that what?s happened to his family sounds like the most horrible soap opera anyone could ever write. But it happened?to Jack; his parents; his sisters, Smithy and Madison. And to his baby brother, Tris. What made it worse was that the media wanted to know every detail. Now... more...
Goddess of YesterdayRandom House Children's Books 2009; US$ 8.99
Anaxandra is taken from her birth island at age 6 by King Nicander to be a companion to his crippled daughter, Princess Callisto. Six years later, her new island is sacked by pirates and she is the sole survivor. Alone with only her Medusa figurine, she reinvents herself as Princess Callisto when Menelaus, great king of Sparta, lands with his men.... more...
Diamonds in the ShadowRandom House Children's Books 2009; US$ 8.95
THE FINCH FAMILY did not know that five refugees landed from Africa on the day they went to the airport to welcome the family sponsored by their church. The Finch family only knew about the four refugees they were meeting - Andre, Celestine, Mattu, and Alake - mother, father, teenage son and daughter. Soon Jared realizes that the good guys are not... more...
For All TimeRandom House Children's Books 2009; US$ 5.99
Annie Lockwood is testing Time. She?s traveled through it before, but always at Time?s bidding. Now she is asking Time to take her to the year 1899, when Strat is in Cairo. But Time doesn?t like to be tested. In what feels like a cruel joke, Annie is transported to ancient Egypt, thousands of years before Strat was born ? to a world far removed from... more...
They Never Came BackRandom House Children's Books 2010; US$ 7.99
In a busy school cafeteria, a teenage girl is confronted by a classmate who questions her identity. He explains to the students who have crowded around that the girl bears an uncanny resemblance to his cousin, who was taken away by social services five years ago. Her parents abandoned her, fleeing the country after being accused of embezzling millions... more...
Family ReunionRandom House Children's Books 2009; US$ 6.50
When the invitation to the Preffyn family reunion arrives interrupting a perfectly decent summer vacation, 15-year-old Shelley Wollcott is anything but enthusiastic. It?s not that Shelley has anything against her relatives, she just can?t stand it when they give her that ?what a pity? look. It?s not her fault that her real mother walked out on the... more...


text:
Entity Disambiguation for Knowledge Base Population †Mark Dredze and †Paul McNamee and †Delip Rao and †Adam Gerber and Tim Finin †Human Language Technology Center of Excellence, Center for Language and Speech Processing Johns Hopkins University University of Maryland, Baltimore County mdredze,mcnamee,delip,firstname.lastname@example.com, firstname.lastname@example.com Abstract cluster corresponds to a single real world entity. The integration of facts derived from information extraction The emergence of large scale publicly avail- systems into existing knowledge bases requires a system to able KBs like Wikipedia and DBPedia has spurred disambiguate entity mentions in the text. This is challeng- an interest in linking textual entity references to ing due to issues such as non-uniform variations in entity names, mention ambiguity, and entities absent from a knowl- their entries in these public KBs. Bunescu and edge base. We present a state of the art system for entity dis- Pasca (2006) and Cucerzan (2007) presented im- ambiguation that not only addresses these challenges but also portant pioneering work in this area, but suffer scales to knowledge bases with several million entries using very little resources. Further, our approach achieves perfor- from several limitations including Wikipedia spe- mance of up to 95% on entities mentioned from newswire cific dependencies, scale, and the assumption of and 80% on a public test set that was designed to include a KB entry for each entity. In this work we in- challenging queries. troduce an entity disambiguation system for link- ing entities to corresponding Wikipedia pages de- 1 Introduction signed for open domains, where a large percent- The ability to identify entities like people, orga- age of entities will not be linkable. Further, our nizations and geographic locations (Tjong Kim method and some of our features readily general- Sang and De Meulder, 2003), extract their at- ize to other curated KB. We adopt a supervised tributes (Pasca, 2008), and identify entity rela- approach, where each of the possible entities con- tions (Banko and Etzioni, 2008) is useful for sev- tained within Wikipedia are scored for a match to eral applications in natural language processing the query entity. We also describe techniques to and knowledge acquisition tasks like populating deal with large knowledge bases, like Wikipedia, structured knowledge bases (KB). which contain millions of entries. Furthermore, However, inserting extracted knowledge into a our system learns when to withhold a link when KB is fraught with challenges arising from nat- an entity has no matching KB entry, a task that ural language ambiguity, textual inconsistencies, has largely been neglected in prior research in and lack of world knowledge. To the discern- cross-document entity coreference. Our system ing human eye, the "Bush" in "Mr. Bush left produces high quality predictions compared with for the Zurich environment summit in Air Force recent work on this task. One." is clearly the US president. Further con- 2 Related Work text may reveal it to be the 43rd president, George W. Bush, and not the 41st president, George H. The information extraction oeuvre has a gamut of W. Bush. The ability to disambiguate a polyse- relation extraction methods for entities like per- mous entity mention or infer that two orthograph- sons, organizations, and locations, which can be ically different mentions are the same entity is classified as open- or closed-domain depending crucial in updating an entity's KB record. This on the restrictions on extractable relations (Banko task has been variously called entity disambigua- and Etzioni, 2008). Closed domain systems ex- tion, record linkage, or entity linking. When per- tract a fixed set of relations while in open-domain formed without a KB, entity disambiguation is systems, the number and type of relations are un- called coreference resolution: entity mentions ei- bounded. Extracted relations still require process- ther within the same document or across multi- ing before they can populate a KB with facts: ple documents are clustered together, where each namely, entity linking and disambiguation. Motivated by ambiguity in personal name whether their top prediction is correct, or whether search, Mann and Yarowsky (2003) disambiguate NIL should be output. We believe relying on fea- person names using biographic facts, like birth tures that are designed to inform whether absence year, occupation and affiliation. When present is correct is the better alternative. in text, biographic facts extracted using regular expressions help disambiguation. More recently, 3 Entity Linking the Web People Search Task (Artiles et al., 2008) We define entity linking as matching a textual en- clustered web pages for entity disambiguation. tity mention, possibly identified by a named en- The related task of cross document corefer- tity recognizer, to a KB entry, such as a Wikipedia ence resolution has been addressed by several page that is a canonical entry for that entity. An researchers starting from Bagga and Baldwin entity linking query is a request to link a textual (1998). Poesio et al. (2008) built a cross document entity mention in a given document to an entry in coreference system using features from encyclo- a KB. The system can either return a matching en- pedic sources like Wikipedia. However, success- try or NIL to indicate there is no matching entry. ful coreference resolution is insufficient for cor- In this work we focus on linking organizations, rect entity linking, as the coreference chain must geo-political entities and persons to a Wikipedia still be correctly mapped to the proper KB entry. derived KB. Previous work by Bunescu and Pasca (2006) and Cucerzan (2007) aims to link entity men- 3.1 Key Issues tions to their corresponding topic pages in There are 3 challenges to entity linking: Wikipedia but the authors differ in their ap- proaches. Cucerzan uses heuristic rules and Name Variations. An entity often has multiple Wikipedia disambiguation markup to derive map- mention forms, including abbreviations (Boston pings from surface forms of entities to their Symphony Orchestra vs. BSO), shortened forms Wikipedia entries. For each entity in Wikipedia, (Osama Bin Laden vs. Bin Laden), alternate a context vector is derived as a prototype for the spellings (Osama vs. Ussamah vs. Oussama), entity and these vectors are compared (via dot- and aliases (Osama Bin Laden vs. Sheikh Al- product) with the context vectors of unknown en- Mujahid). Entity linking must find an entry de- tity mentions. His work assumes that all entities spite changes in the mention string. have a corresponding Wikipedia entry, but this as- Entity Ambiguity. A single mention, like sumption fails for a significant number of entities Springfield, can match multiple KB entries, as in news articles and even more for other genres, many entity names, like people and organizations, like blogs. Bunescu and Pasca on the other hand tend to be polysemous. suggest a simple method to handle entities not in Absence. Processing large text collections vir- Wikipedia by learning a threshold to decide if the tually guarantees that many entities will not ap- entity is not in Wikipedia. Both works mentioned pear in the KB (NIL), even for large KBs. rely on Wikipedia-specific annotations, such as The combination of these challenges makes category hierarchies and disambiguation links. entity linking especially challenging. Consider We just recently became aware of a system an example of "William Clinton." Most read- fielded by Li et al. at the TAC-KBP 2009 eval- ers will immediately think of the 42nd US pres- uation (2009). Their approach bears a number ident. However, the only two William Clintons in of similarities to ours; both systems create candi- Wikipedia are "William de Clinton" the 1st Earl date sets and then rank possibilities using differing of Huntingdon, and "William Henry Clinton" the learning methods, but the principal difference is in British general. The page for the 42nd US pres- our approach to NIL prediction. Where we simply ident is actually "Bill Clinton". An entity link- consider absence (i.e., the NIL candidate) as an- ing system must decide if either of the William other entry to rank, and select the top-ranked op- Clintons are correct, even though neither are ex- tion, they use a separate binary classifier to decide act matches. If the system determines neither matches, should it return NIL or the variant "Bill (Bunescu and Pasca, 2006) – which is limited to Clinton"? If variants are acceptable, then perhaps Wikipedia and does not work for general KBs. "Clinton, Iowa" or "DeWitt Clinton" should be We consider a KB independent approach to selec- acceptable answers? tion that also allows for tuning candidate set size. This involves a linear pass over KB entry names 3.2 Contributions (Wikipedia page titles): a naive implementation We address these entity linking challenges. took two minutes per query. The following sec- Robust Candidate Selection. Our system is tion reduces this to under two seconds per query. flexible enough to find name variants but suffi- For a given query, the system selects KB entries ciently restrictive to produce a manageable can- using the following approach: didate list despite a large-scale KB. Features for Entity Disambiguation. We de- • Titles that are exact matches for the mention. veloped a rich and extensible set of features based on the entity mention, the source document, and • Titles that are wholly contained in or contain the KB entry. We use a machine learning ranker the mention (e.g., Nationwide and Nationwide In- to score each candidate. surance). Learning NILs. We modify the ranker to learn • The first letters of the entity mention match the NIL predictions, which obviates hand tuning and KB entry title (e.g., OA and Olympic Airlines). importantly, admits use of additional features that are indicative of NIL. • The title matches a known alias for the entity Our contributions differ from previous efforts (aliases described in Section 5.2). (Bunescu and Pasca, 2006; Cucerzan, 2007) in • The title has a strong string similarity score several important ways. First, previous efforts de- with the entity mention. We include several mea- pend on Wikipedia markup for significant perfor- sures of string similarity, including: character mance gains. We make no such assumptions, al- Dice score > 0.9, skip bigram Dice score > 0.6, though we show that optional Wikipedia features and Hamming distance <= 2. lead to a slight improvement. Second, Cucerzan does not handle NILs while Bunescu and Pasca We did not optimize the thresholds for string address them by learning a threshold. Our ap- similarity, but these could obviously be tuned to proach learns to predict NIL in a more general minimize the candidate sets and maximize recall. and direct way. Third, we develop a rich fea- All of the above features are general for any ture set for entity linking that can work with any KB. However, since our evaluation used a KB KB. Finally, we apply a novel finite state machine derived from Wikipedia, we included a few method for learning name variations. 1 Wikipedia specific features. We added an entry if The remaining sections describe the candidate its Wikipedia page appeared in the top 20 Google selection system, features and ranking, and our results for a query. novel approach learning NILs, followed by an empirical evaluation. On the training dataset (Section 7) the selection system attained a recall of 98.8% and produced 4 Candidate Selection for Name Variants candidate lists that were three to four orders of magnitude smaller than the KB. Some recall er- The first system component addresses the chal- rors were due to inexact acronyms: ABC (Arab lenge of name variants. As the KB contains a large Banking; 'Corporation' is missing), ASG (Abu number of entries (818,000 entities, of which 35% Sayyaf; 'Group' is missing), and PCF (French are PER, ORG or GPE), we require an efficient se- Communist Party; French reverses the order of the lection of the relevant candidates for a query. pre-nominal adjectives). We also missed Interna- Previous approaches used Wikipedia markup tional Police (Interpol) and Becks (David Beck- for filtering – only using the top-k page categories ham; Mr. Beckham and his wife are collectively 1 http://www.clsp.jhu.edu/ markus/fstrain referred to as 'Posh and Becks'). 4.1 Scaling Candidate Selection constraint is equivalent to the ranking SVM algo- rithm of Joachims (2002), where we define an or- Our previously described candidate selection re- dered pair constraint for each of the incorrect KB lied on a linear pass over the KB, but we seek ˆ entries y and the correct entry y. Training sets pa- more efficient methods. We observed that the rameters such that score(y) ≥ score(ˆ) + γ. We y above non-string similarity filters can be pre- used the library SVMrank to solve this optimiza- computed and stored in an index, and that the skip tion problem.3 We used a linear kernel, set the bigram Dice score can be computed by indexing slack parameter C as 0.01 times the number of the skip bigrams for each KB title. We omitted training examples, and take the loss function as the other string similarity scores, and collectively the total number of swapped pairs summed over these changes enable us to avoid a linear pass over all training examples. While previous work used the KB. Finally we obtained speedups by serving a custom kernel, we found a linear kernel just as the KB concurrently2 . Recall was nearly identical effective with our features. This has the advan- to the full system described above: only two more tage of efficiency in both training and prediction 4 queries failed. Additionally, more than 95% of – important considerations in a system meant to the processing time was consumed by Dice score scale to millions of KB entries. computation, which was only required to cor- rectly retrieve less than 4% of the training queries. 5.1 Features for Entity Disambiguation Omitting the Dice computation yielded results in 200 atomic features represent x based on each a few milliseconds. A related approach is that of candidate query/KB pair. Since we used a lin- canopies for scaling clustering for large amounts ear kernel, we explicitly combined certain fea- of bibliographic citations (McCallum et al., 2000). tures (e.g., acroynym-match AND known-alias) to In contrast, our setting focuses on alignment vs. model correlations. This included combining each clustering mentions, for which overlapping parti- feature with the predicted type of the entity, al- tioning approaches like canopies are applicable. lowing the algorithm to learn prediction functions 5 Entity Linking as Ranking specific to each entity type. With feature combina- tions, the total number of features grew to 26,569. We select a single correct candidate for a query The next sections provide an overview; for a de- using a supervised machine learning ranker. We tailed list see McNamee et al. (2009). represent each query by a D dimensional vector x, where x ∈ RD , and we aim to select a sin- 5.2 Features for Name Variants gle KB entry y, where y ∈ Y, a set of possible Variation in entity name has long been recog- KB entries for this query produced by the selec- nized as a bane for information extraction sys- tion system above, which ensures that Y is small. tems. Poor handling of entity name variants re- The ith query is given by the pair {xi , yi }, where sults in low recall. We describe several features we assume at most one correct KB entry. ranging from simple string match to finite state To evaluate each candidate KB entry in Y we transducer matching. create feature functions of the form f (x, y), de- String Equality. If the query name and KB en- pendent on both the example x (document and en- try name are identical, this is a strong indication of tity mention) and the KB entry y. The features a match, and in our KB entry names are distinct. address name variants and entity disambiguation. However, similar or identical entry names that We take a maximum margin approach to learn- refer to distinct entities are often qualified with ing: the correct KB entry y should receive a parenthetical expressions or short clauses. As higher score than all other possible KB entries an example, "London, Kentucky" is distinguished y ∈ Y, y = y plus some margin γ. This learning ˆ ˆ 3 www.cs.cornell.edu/people/tj/svm light/svm rank.html 4 Bunescu and Pasca (2006) report learning tens of thou- 2 Our Python implementation with indexing features and sands of support vectors with their "taxonomy" kernel while four threads achieved up to 80× speedup compared to naive a linear kernel represents all support vectors with a single implementation. weight vector, enabling faster training and prediction. from "London, Ontario", "London, Arkansas", contained character n-grams; we used n-grams of "London (novel)", and "London". Therefore, length 3 and less. The scores are combined using a other string equality features were used, such as global log-linear model. Since different spellings whether names are equivalent after some transfor- of a name may vary considerably in length (e.g., mation. For example, "Baltimore" and "Baltimore J Miller vs. Jennifer Miller) we eliminated the City" are exact matches after removing a common limit on consecutive insertions used in previous GPE word like city; "University of Vermont" and applications.6 "University of VT" match if VT is expanded. Approximate String Matching. Many entity 5.3 Wikipedia Features mentions will not match full names exactly. We Most of our features do not depend on Wikipedia added features for character Dice, skip bigram markup, but it is reasonable to include features Dice, and left and right Hamming distance scores. from KB properties. Our feature ablation study Features were set based on quantized scores. shows that dropping these features causes a small These were useful for detecting minor spelling but statistically significant performance drop. variations or mistakes. Features were also added if the query was wholly contained in the entry name, WikiGraph statistics. We added features de- or vice-versa, which was useful for handling ellip- rived from the Wikipedia graph structure for an sis (e.g., "United States Department of Agricul- entry, like indegree of a node, outdegree of a node, ture" vs. "Department of Agriculture"). We also and Wikipedia page length in bytes. These statis- included the ratio of the recursive longest com- tics favor common entity mentions over rare ones. mon subsequence (Christen, 2006) to the shorter Wikitology. KB entries can be indexed with hu- of the mention or entry name, which is effective at man or machine generated metadata consisting of handling some deletions or word reorderings (e.g., keywords or categories in a domain-appropriate "Li Gong" and "Gong Li"). Finally, we checked taxonomy. Using a system called Wikitology, whether all of the letters of the query are found in Syed et al. (2008) investigated use of ontology the same order in the entry name (e.g., "Univ Wis- terms obtained from the explicit category system consin" would match "University of Wisconsin"). in Wikipedia as well as relationships induced from Acronyms. Features for acronyms, using dic- the hyperlink graph between related Wikipedia tionaries and partial character matches, enable pages. Following this approach we computed top- matches between "MIT" and "Madras Institute of ranked categories for the query documents and Technology" or "Ministry of Industry and Trade." used this information as features. If none of the Aliases. Many aliases or nicknames are non- candidate KB entries had corresponding highly- trivial to guess. For example JAVA is the ranked Wikitology pages, we used this as a NIL stock symbol for Sun Microsystems, and "Gin- feature (Section 6.1). ger Spice" is a stage name of Geri Halliwell. A reasonable way to do this is to employ a dictio- 5.4 Popularity nary and alias lists that are commonly available Although it may be an unsafe bias to give prefer- for many domains5 . ence to common entities, we find it helpful to pro- FST Name Matching. Another measure of sur- vide estimates of entity popularity to our ranker face similarity between a query and a candidate as others have done (Fader et al., 2009). Apart was computed by training finite-state transducers from the graph-theoretic features derived from the similar to those described in Dreyer et al. (2008). Wikipedia graph, we used Google's PageRank to These transducers assign a score to any string pair by adding features indicating the rank of the KB by summing over all alignments and scoring all entry's corresponding Wikipedia page in a Google 5 We used multiple lists, including class-specific lists (i.e., query for the target entity mention. for PER, ORG, and GPE) lists extracted from Freebase (Bol- 6 lacker et al., 2008) and Wikipedia redirects. PER, ORG, and Without such a limit, the objective function may diverge GPE are the commonly used terms for entity types for peo- for certain parameters of the model; we detect such cases and ple, organizations and geo-political regions respectively. learn to avoid them during training. 5.5 Document Features cascaded to allow arbitrary feature conjunctions. The mention document and text associated with a Thus it is possible to end up with a feature kbtype- KB entry contain context for resolving ambiguity. is-ORG AND high-TFIDF-score AND low-name- similarity. The combined features increased the Entity Mentions. Some features were based on number of features from roughly 200 to 26,000. presence of names in the text: whether the query appeared in the KB text and the entry name in the 6 Predicting NIL Mentions document. Additionally, we used a named-entity tagger and relation finder, SERIF (Boschee et al., So far we have assumed that each example has a 2005), identified name and nominal mentions that correct KB entry; however, when run over a large were deemed co-referent with the entity mention corpus, such as news articles, we expect a signifi- in the document, and tested whether these nouns cant number of entities will not appear in the KB. were present in the KB text. Without the NE anal- Hence it will be useful to predict NILs. ysis, accuracy on non-NIL entities dropped 4.5%. We learn when to predict NIL using the SVM KB Facts. KB nodes contain infobox attributes ranker by augmenting Y to include NIL, which (or facts); we tested whether the fact text was then has a single feature unique to NIL answers. present in the query document, both locally to a It can be shown that (modulo slack variables) this mention, or anywhere in the text. Although these is equivalent to learning a single threshold τ for facts were derived from Wikipedia infoboxes, NIL predictions as in Bunescu and Pasca (2006). they could be obtained from other sources as well. Incorporating NIL into the ranker has several Document Similarity We measured similarity advantages. First, the ranker can set the thresh- between the query document and the KB text in old optimally without hand tuning. Second, since two ways: cosine similarity with TF/IDF weight- the SVM scores are relative within a single exam- ing (Salton and McGill, 1983); and using the Dice ple and cannot be compared across examples, set- coefficient over bags of words. IDF values were ting a single threshold is difficult. Third, a thresh- approximated using counts from the Google 5- old sets a uniform standard across all examples, gram dataset as by Klein and Nelson (2008). whereas in practice we may have reasons to favor Entity Types. Since the KB contained types a NIL prediction in a given example. We design for entries, we used these as features as well as features for NIL prediction that cannot be cap- the predicted NE type for the entity mention in tured in a single parameter. the document text. Additionally, since only a small number of KB entries had PER, ORG, or 6.1 NIL Features GPE types, we also inferred types from Infobox Integrating NIL prediction into learning means class information to attain 87% coverage in the we can define arbitrary features indicative of NIL KB. This was helpful for discouraging selection predictions in the feature vector corresponding to of eponymous entries named after famous enti- NIL. For example, if many candidates have good ties (e.g., the former U.S. president vs. "John F. name matches, it is likely that one of them is cor- Kennedy International Airport"). rect. Conversely, if no candidate has high entry- text/article similarity, or overlap between facts 5.6 Feature Combinations and the article text, it is likely that the entity is To take into account feature dependencies we cre- absent from the KB. We included several features, ated combination features by taking the cross- such as a) the max, mean, and difference between product of a small set of diverse features. The max and mean for 7 atomic features for all KB attributes used as combination features included candidates considered, b) whether any of the can- entity type; a popularity based on Google's rank- didate entries have matching names (exact and ings; document comparison using TF/IDF; cov- fuzzy string matching), c) whether any KB en- erage of co-referential nouns in the KB node try was a top Wikitology match, and d) if the top text; and name similarity. The combinations were Google match was not a candidate. Micro-Averaged Macro-Averaged Best Median All Features Best Features Best Median All Features Best Features All 0.8217 0.7108 0.7984 0.7941 0.7704 0.6861 0.7695 0.7704 non-NIL 0.7725 0.6352 0.7063 0.6639 0.6696 0.5335 0.6097 0.5593 NIL 0.8919 0.7891 0.8677 0.8919 0.8789 0.7446 0.8464 0.8721 Table 1: Micro and macro-averaged accuracy for TAC-KBP data compared to best and median reported performance. Results are shown for all features as well as removing a small number of features using feature selection on development data. 7 Evaluation PERs and ORGs these percentages were signifi- cantly lower, 19% and 30% respectively. We evaluated our system on two datasets: the Table 1 shows results on TAC-KBP data us- Text Analysis Conference (TAC) track on Knowl- ing all of our features as well a subset of features edge Base Population (TAC-KBP) (McNamee and based on feature selection experiments on devel- Dang, 2009) and the newswire data used by opment data. We include scores for both micro- Cucerzan (2007) (Microsoft News Data). averaged accuracy – averaged over all queries Since our approach relies on supervised learn- – and macro-averaged accuracy – averaged over ing, we begin by constructing our own training each unique entity – as well as the best and me- corpus.7 We highlighted 1496 named entity men- dian reported results for these data (McNamee tions in news documents (from the TAC-KBP doc- and Dang, 2009). We obtained the best reported ument collection) and linked these to entries in results for macro-averaged accuracy, as well as a KB derived from Wikipedia infoboxes. 8 We the best results for NIL detection with micro- added to this collection 119 sample queries from averaged accuracy, which shows the advantage of the TAC-KBP data. The total of 1615 training ex- our approach to learning NIL. See McNamee et amples included 539 (33.4%) PER, 618 (38.3%) al. (2009) for additional experiments. ORG, and 458 (28.4%) GPE entity mentions. Of The candidate selection phase obtained a re- the training examples, 80.5% were found in the call of 98.6%, similar to that of development data. KB, matching 300 unique entities. This set has a Missed candidates included Iron Lady, which higher number of NIL entities than did Bunescu refers metaphorically to Yulia Tymoshenko, PCC, and Pasca (2006) (10%) but lower than the TAC- the Spanish-origin acronym for the Cuban Com- KBP test set (43%). munist Party, and Queen City, a former nickname All system development was done using a train for the city of Seattle, Washington. The system re- (908 examples) and development (707 examples) turned a mean of 76 candidates per query, but the split. The TAC-KBP and Microsoft News data median was 15 and the maximum 2772 (Texas). In sets were held out for final tests. A model trained about 10% of cases there were four or fewer can- on all 1615 examples was used for experiments. didates and in 10% of cases there were more than 100 candidate KB nodes. We observed that ORGs 7.1 TAC-KBP 2009 Experiments were more difficult, due to the greater variation The KB is derived from English Wikipedia pages and complexity in their naming, and that they can that contained an infobox. Entries contain basic be named after persons or locations. descriptions (article text) and attributes. The TAC- KBP query set contains 3904 entity mentions for 7.2 Feature Effectiveness 560 distinct entities; entity type was only provided We performed two feature analyses on the TAC- for evaluation. The majority of queries were for KBP data: an additive study – starting from a organizations (69%). Most queries were missing small baseline feature set used in candidate selec- from the KB (57%). 77% of the distinct GPEs tion we add feature groups and measure perfor- in the queries were present in the KB, but for mance changes (omitting feature combinations), 7 Data available from www.dredze.com and an ablative study – starting from all features, 8 http://en.wikipedia.org/wiki/Help:Infobox remove a feature group and measure performance. Class All non-NIL NIL Num. Queries Accuracy Baseline 0.7264 0.4621 0.9251 Total Nil All non-NIL NIL Acronyms 0.7316 0.4860 0.9161 NIL 452 187 0.4137 0.0 1.0 NE Analysis 0.7661 0.7181 0.8022 GPE 132 20 0.9696 1.00 0.8000 Google 0.7597 0.7421 0.7730 ORG 115 45 0.8348 0.7286 1.00 Doc/KB Text Similarity 0.7313 0.6699 0.7775 PER 205 122 0.9951 0.9880 1.00 Wikitology 0.7318 0.4549 0.9399 All 452 187 0.9469 0.9245 0.9786 All 0.7984 0.7063 0.8677 Cucerzan (2007) 0.914 - - Table 2: Additive analysis: micro-averaged accuracy. Table 3: Micro-average results for Microsoft data. Table 2 shows the most significant features in the number of candidates considered. We selected the feature addition experiments. The baseline a median of 13 candidates for PER, 12 for ORG includes only features based on string similarity and 102 for GPE. Accuracy results are in Table or aliases and is not effective at finding correct 3. The high results reported for this dataset over entries and strongly favors NIL predictions. In- TAC-KBP is primarily because we perform very clusion of features based on analysis of named- well in predicting popular and rare entries – both entities, popularity measures (e.g., Google rank- of which are common in newswire text. ings), and text comparisons provided the largest One issue with our KB was that it was derived gains. The overall changes are fairly small, from infoboxes in Wikipedia's Oct 2008 version roughly ±1%; however changes in non-NIL pre- which has both new entities, 12 and is missing en- cision are larger. tities.13 Therefore, we manually confirmed NIL The ablation study showed considerable redun- answers and new answers for queries marked as dancy across feature groupings. In several cases, NIL in the data. While an exact comparison is not performance could have been slightly improved possible (as described above), our results (94.7%) by removing features. Removing all feature com- appear to be at least on par with Cucerzan's sys- binations would have improved overall perfor- tem (91.4% overall accuracy).With the strong re- mance to 81.05% by gaining on non-NIL for a sults on TAC-KBP, we believe that this is strong small decline on NIL detection. confirmation of the effectiveness of our approach. 7.3 Experiments on Microsoft News Data 8 Conclusion We downloaded the evaluation data used in We presented a state of the art system to disam- Cucerzan (2007)9 : 20 news stories from MSNBC biguate entity mentions in text and link them to with 642 entity mentions manually linked to a knowledge base. Unlike previous approaches, Wikipedia and another 113 mentions not having our approach readily ports to KBs other than any corresponding link to Wikipedia.10 A sig- Wikipedia. We described several important chal- nificant percentage of queries were not of type lenges in the entity linking task including han- PER, ORG, or GPE (e.g., "Christmas"). SERIF dling variations in entity names, ambiguity in en- assigned entity types and we removed 297 queries tity mentions, and missing entities in the KB, and not recognized as entities (counts in Table 3). we showed how to each of these can be addressed. We learned a new model on the training data We described a comprehensive feature set to ac- above using a reduced feature set to increase complish this task in a supervised setting. Impor- speed.11 Using our fast candidate selection sys- tantly, our method discriminately learns when not tem, we resolved each query in 1.98 seconds (me- to link with high accuracy. To spur further re- dian). Query processing time was proportional to search in these areas we are releasing our entity 9 linking system. http://research.microsoft.com/en-us/um/people/silviu/WebAssistant/TestData/ 10 12 One of the MSNBC news articles is no longer available 2008 vs. 2006 version used in Cucerzan (2007) We so we used 759 total entities. could not get the 2006 version from the author or the Internet. 11 13 We removed Google, FST and conjunction features Since our KB was derived from infoboxes, entities not which reduced system accuracy but increased performance. having an infobox were left out. References Gideon S. Mann and David Yarowsky. 2003. Unsuper- vised personal name disambiguation. In Conference Javier Artiles, Satoshi Sekine, and Julio Gonzalo. on Natural Language Learning (CONLL). 2008. Web people search: results of the first evalu- ation and the plan for the second. In WWW. Andrew McCallum, Kamal Nigam, and Lyle Ungar. 2000. Efficient clustering of high-dimensional data Amit Bagga and Breck Baldwin. 1998. Entity- sets with application to reference matching. In based cross-document coreferencing using the vec- Knowledge Discovery and Data Mining (KDD). tor space model. In Conference on Computational Linguistics (COLING). Paul McNamee and Hoa Trang Dang. 2009. Overview Michele Banko and Oren Etzioni. 2008. The tradeoffs of the TAC 2009 knowledge base population track. between open and traditional relation extraction. In In Text Analysis Conference (TAC). Association for Computational Linguistics. Paul McNamee, Mark Dredze, Adam Gerber, Nikesh K. Bollacker, C. Evans, P. Paritosh, T. Sturge, and Garera, Tim Finin, James Mayfield, Christine Pi- J. Taylor. 2008. Freebase: a collaboratively cre- atko, Delip Rao, David Yarowsky, and Markus ated graph database for structuring human knowl- Dreyer. 2009. HLTCOE approaches to knowledge edge. In SIGMOD Management of Data. base population at TAC 2009. In Text Analysis Con- ference (TAC). E. Boschee, R. Weischedel, and A. Zamanian. 2005. Automatic information extraction. In Conference Marius Pasca. 2008. Turning web text and search on Intelligence Analysis. queries into factual knowledge: hierarchical class attribute extraction. In National Conference on Ar- Razvan C. Bunescu and Marius Pasca. 2006. Using tificial Intelligence (AAAI). encyclopedic knowledge for named entity disam- biguation. In European Chapter of the Assocation Massimo Poesio, David Day, Ron Artstein, Jason Dun- for Computational Linguistics (EACL). can, Vladimir Eidelman, Claudio Giuliano, Rob Hall, Janet Hitzeman, Alan Jern, Mijail Kabadjov, Peter Christen. 2006. A comparison of personal name Stanley Yong, Wai Keong, Gideon Mann, Alessan- matching: Techniques and practical issues. Techni- dro Moschitti, Simone Ponzetto, Jason Smith, Josef cal Report TR-CS-06-02, Australian National Uni- Steinberger, Michael Strube, Jian Su, Yannick Ver- versity. sley, Xiaofeng Yang, and Michael Wick. 2008. Ex- ploiting lexical and encyclopedic resources for en- Silviu Cucerzan. 2007. Large-scale named entity tity disambiguation: Final report. Technical report, disambiguation based on wikipedia data. In Em- JHU CLSP 2007 Summer Workshop. pirical Methods in Natural Language Processing (EMNLP). Gerard Salton and Michael McGill. 1983. Introduc- tion to Modern Information Retrieval. McGraw- Markus Dreyer, Jason Smith, and Jason Eisner. 2008. Hill Book Company. Latent-variable modeling of string transductions with finite-state methods. In Empirical Methods in Erik Tjong Kim Sang and Fien De Meulder. 2003. In- Natural Language Processing (EMNLP). troduction to the conll-2003 shared task: Language- independent named entity recognition. In Confer- Anthony Fader, Stephen Soderland, and Oren Etzioni. ence on Natural Language Learning (CONLL). 2009. Scaling Wikipedia-based named entity dis- ambiguation to arbitrary web text. In WikiAI09 Zareen Syed, Tim Finin, and Anupam Joshi. 2008. Workshop at IJCAI 2009. Wikipedia as an ontology for describing documents. In Proceedings of the Second International Confer- Thorsten Joachims. 2002. Optimizing search engines ence on Weblogs and Social Media. AAAI Press. using clickthrough data. In Knowledge Discovery and Data Mining (KDD). Martin Klein and Michael L. Nelson. 2008. A com- parison of techniques for estimating IDF values to generate lexical signatures for the web. In Work- shop on Web Information and Data Management (WIDM). Fangtao Li, Zhicheng Zhang, Fan Bu, Yang Tang, Xiaoyan Zhu, and Minlie Huang. 2009. THU QUANTA at TAC 2009 KBP and RTE track. In Text Analysis Conference (TAC).
Pages to are hidden for
"500 - PDF"Please download to view full document


text:
Laura Beer Receives WRAMTA Award
Dr. Laura Beer was recognized by her peers with the 2015 Professional Practice Award from the Western Region American Association of Music Therapy.
Attending Marylhurst will open many doors to the future. That's because all of our academic programs are designed to challenge students intellectually and inspire personal and professional growth. We integrate the liberal arts and professional studies, nurturing students to be the interdisciplinary thinkers and ethics leaders most valued by employers.
Across 21 bachelor's degree programs and 13 graduate degree programs, our academic experience is dedicated to transforming lives through rigorous and relevant learning. And for those seeking personal enrichment or professional advancement rather than a degree, we offer certificate programs covering many areas of study.
Dr. Laura Beer was recognized by her peers with the 2015 Professional Practice Award from the Western Region American Association of Music Therapy.
Ger Killeen, culture & media faculty, was interviewed by The Oregonian in February 2015 talking about his passions: poetry, Ireland and the natural world.
Good Friday through Easter Sunday. University closed. The Marylhurst University community wishes you a blessed and happy Easter. "Dear Brothers ...
Meet Carie Strahorn, Director, HR Recruitment and Marcomm. Boly:Welch Recruiting specializes in Direct-Hire, Temp-to-Hire, and Contract positions a...
In-person Internship Orientations are held twice a term. Open to any undergraduate or graduate student planning an internship as part of their educ...
Start your Marylhurst journey today.
Need more information about Marylhurst and our programs?


text:
Sailing classes for all ages offered in county
Families looking for something fun to do this summer, may want to consider sailing. There are still a few enrollment spaces available for the remaining youth and adult sailing classes to be held this summer.
|All times are GMT -4. The time now is 03:35 PM.
Powered by vBulletin® Version 3.8.7
Copyright ©2000 - 2015, vBulletin Solutions, Inc.
SEO by vBSEO 3.6.1
(c) Marine.com LLC 2000-2012


text:
"Too warm for Skiing at Killington"
Reasonable distance from the ski resort, but farther than we would have liked given the two lane travel to the resort. Very pretty drive though. The immediate area of the hotel lacked character and hotel staff offered limited help with suggestions of what to do when the ski slope was lacking snow. We found a movie theater in Lebanon and some fun restaurants […] in Hanover and Woodstock. Read moreGenuine Hotels.com guest review
Room is spacious, equipped with a small kitching area, which is more than i expected. Dishes and Cups are available in the cabin.Genuine Expedia guest review
room was prepared with everything we asked for before we arrived. Easy access to major highways. Clean and friendly environmentGenuine Hotels.com guest review
My boyfriend and I spent two nights at this hotel, and we were impressed! Our hotel room was larger than we expected, and it was right next to a side door in and out of the hotel- very convenient! The hotel is near three gas stations, which wasn't a problem. The continental breakfast was one of the better ones we've had at a hotel- I highly recommend […] trying the pancake maker and the cinnamon rolls. White River Junction is an interesting town- check out the old train near the Amtrak Station! However, there isn't much of a nightlife in White River Junction- from what we saw, there were two (very empty) dive bars, and one classy bar that was packed. You're better off going to Windsor if you want to go out! Overall, we had a great stay- we will be back! Read moreGenuine Hotels.com guest review
Heating wasn't working. Front desk quickly sent engineering to fix it. Got fixed temporarily but failed again around midnight. Breakfast was excellent.Genuine Hotels.com guest review
"Excellent value"
Large room, good king bed, clean bathroom, convenient location plus underground parking and free breakfast. I definitely plan to stay again when visiting Dartmouth and the Hanover area. Oh, be sure to visit Quechee Gorge - an excellent Vermont State Park - for a lovely walk in the woods.Genuine Hotels.com guest review
"Convenient location right off highway"
Arrived very late .... Really nice staff , very accommodating - only stayed for a one night quick visit but would go again In a minuteGenuine Expedia guest review
"Perfect for us!"
The room was spacious, larger than we had anticipated. The free Breakfast was one of the best we've had when compared to other hotels / motels.Genuine Hotels.com guest review
"Great service"
Very clean place and the people were very nice! The furniture was a little dated but still a very nice room! Only complaint is there is no room service but there is a free breakfast and a pizza place that delivers to the hotelGenuine Hotels.com guest review
"On the way home from a New England sight seeing"
The hotel was great! Breakfast was the best I have seen.Genuine Hotels.com guest review
"Get there early for breakfast!"
Hotel Policy is to stop replenishing a half hour before the stated closing time for breakfast. So get there early or all you will get for breakfast is a polite "I'm sorry." instead of breakfast.Genuine Hotels.com guest review
"One night stay"
We had a suite which was very roomy with full kitchen and sitting area. Everything was great except for two things: TV was all analog - channels were spotty at best, and the skylight in the room had no way to block the light - we were awakened very early by incoming light.Otherwise, excellent stay.Genuine Hotels.com guest review
Ok. Parking garage entry is broken. Room keys stopped working for no reason.Genuine Hotels.com guest review
"Pleasant and Comfortable"
The staff was very warm and accomodating. The room was spacious and comfortable. I only stayed there a day but could see myself very comfortable staying longer. Not too familiar with the area but it seems close to alot of different activities.Genuine Expedia guest review
"Wonderful staff"
Can't say enough about how well we were treated by the staff. Very comfortable room.Genuine Hotels.com guest review
We loved every minute of our stay at this hotel. The staff was so friendly, nice, and helpful. The breakfast was amazing! The best 'free hotel' breakfast we ever had. Our room was always clean, and comfortable. It was a wonderful hotel for the price and I'd recommend it to anyone.Genuine Hotels.com guest review
"nice, friendly hotel, ,clean"
ov erall a very nice hotel. very accommodating staff. very clean, good breakfast. comfortable beds.Genuine Hotels.com guest review
"Bathroom Ceiling"
The bathroom ceiling appeared to have or had a leak. It appears as if there may be mold on the ceiling. This should be repaired, cleaned and remediated. Otherwise the room was nice.Genuine Expedia guest review
"Great Stay!!"
My daughter and I were looking at colleges and needed a place to stay. We were very happy with this hotel. I would recommend this hotel to a friend.Genuine Hotels.com guest review
"great time"
we were pleased with the cleanliness and overall feeling of the room - breakfast staff was great; lots of support from everyone at the hotel. great experienceGenuine Expedia guest review
"Nice Hotel near good restaurants and shopping ."
I visited my relatives and I wanted a good motel that was centrally located. This turned out to be an excellent choice.Genuine Expedia guest review
"EXcellent hotel"
We stayed here for the Covered Bridges half marathon in Woodstock. Super nice hotel. Great parking, great complimentary breakfast, large, comfortable room. First rate.Genuine Hotels.com guest review
it was OK for one nite, bed was not too comfortable, room clean.Genuine Hotels.com guest review
"Best place to stay in White River Junction, VT"
Friendly helpful staff. The front desk was responsive and helpful for every need or question. Rooms were like apartments. Spacious, comfortable and quiet. Breakfast was great, well stocked and lots of variety. Having a full kitchen was a big plus for us. Highly recommend staying here.Genuine Expedia guest review
Very easy to check-in and friendly staff of all kinds - clean in all areas -comfortable beds - nice breakfast - overall very nice place to stayGenuine Hotels.com guest review
A good place to stay if you have a friend or family member graduating from Vermont Law. Beds and pillows were very comfortable and the windows open to allow fresh air to enter the room. Breakfast was quite tasty with lots of food offerings.Genuine Hotels.com guest review
"close to Dartmouth"
Nice but maids were ready to clean the room at 8:00amGenuine Hotels.com guest review
"White River JCT."
NICE CLEAN AND FRESH HOTEL, PARKING IN SAFE, CLEAN, AND WEATHER FREE GARAGE BELOW HOTEL. Rooms where nice fresh and clean. the staff especially John where great as my booking was wrong date. He went out of his way to correct the issue and up sized my room and lowered my cost.Genuine Hotels.com guest review
"convenient location"
hotel was easy to find and convenient to the highway.Genuine Hotels.com guest review
The front desk staff was great, the service staff - not so much. All I could hear while eating my breakfast was a man and woman complaining about management. The coffee was terrible, my room had a dirty leftover facecloth on the shower curtain rod and the drain in the sink was stuck shut. Probably the worst Holiday Inn Express I've ever stayed in.Genuine Hotels.com guest review
"very solid"
solidGenuine Hotels.com guest review
My stay was great. I liked the hospitality of Staff and employees. Everyone was kind to my wife and I.Genuine Hotels.com guest review
"Good stop on the way to Canada"
We stayed in this hotel on our way to Canada . It was good choice for one night. Breakfast included egg, bagels, muffins , cereal .Genuine Expedia guest review
I only had a one night stay but I was extremely satisfied. I have stayed may times in other Holiday Inns, and so far this has been one of the nicest yet. Have been satisfied in the past, but this hotel was very well doneGenuine Hotels.com guest review
"Great Hotel After a Long Day of Driving"
My daughter and I had a great stay at the Holiday Inn Express. I had driven a lot that day and was really tired. My daughter had played in a soccer game and was ready for a hot tub. The room was clean and inviting and the desk staff were friendly and helpful. We had a great stay.Genuine Expedia guest review
"Good, basic, convenient"
This hotel is conveniently located just of 91 and 89, minutes away from Dartmouth. The staff was very helpful, the room includes a fridge, and while it is not a 4-star hotel, it is clean and fine. The only criticism I have is that the price was high for this type of hotel.Genuine Hotels.com guest review
"Dartmouth retreat"
This worked very well for us when we came up to visit our child at dartmouth. Very reasonable, clean, good breakfast, quiet. I will stay there againGenuine Hotels.com guest review
Convient location at affordable rate. Good value!!Genuine Hotels.com guest review
"Glad I stayed"
It was new and clean, I only stayed over night, it is convenient to the highway, a little expensive however. Breakfast had a good varietyGenuine Expedia guest review
"Spacious and Clean"
We had a lovely and spacious corner room, complete with a desk under a skylight. Front desk staff were very friendly. Wish we could have stayed longer!Genuine Hotels.com guest review
"Great hotel for visit to Dartmouth"
I stayed at Holiday Inn Express during a visit to Dartmouth. Lodging in Hanover, NH can be very expensive (2x cost) and this hotel was only 10 mins away with convenient access to I-89/I-91. It was very clean and the quality was great for the price I paid. Also, Shaw's and fast food restaurants were only 2 exits away in West Lebanon.Genuine Expedia guest review
"Weary Traveler"
The room appeared to have been hasily prepared for occupancy. The carpet needed vacuuming and one washcloth was available and staff brought more washcloths to room. The room needed detailed vacuuming -- around the edges had not been touched in some time. On a positive note, the breakfast was very sufficient and the beds/pillows were comfortable.Genuine Expedia guest review
"Overall very average in a good way"
Just fine. Quiet and comfortable.Genuine Hotels.com guest review
Functional, convenient and well runGenuine Hotels.com guest review
"just a place to sleep"
Hotel is expensive. Was clean. Room with 2 beds and only 3 bath towels???Genuine Hotels.com guest review
Most of the hotel was fine, but relatively unremarkable. There were a couple of nice features, though. One was the easily-accessible parking garage underneath, which was great since we arrived in the rain. The hotel also has a fantastic breakfast bar with one of the only self-service pancake makers I have ever seen. I was just passing through and have […] no particular reason to go back to the area, but if I did then I would stay at the Holiday Inn again. Read moreGenuine Hotels.com guest review
"It's okay..."
Okay stay. Clean hotel. Staff not that helpful... Poor wireless...Genuine Hotels.com guest review
"Good place to stay in White River Junction Vermont"
This was a nice hotel for a family vacation or a business traveler. The front-desk staff was friendly, polite, and helpful. The morning breakfast was average.Genuine Expedia guest review
"Close to freeway access, limited eating places"
Our stay could have been better - the hotel was 100% packed and we were given a room next to the reception and the breakfast room despite prepaying and booking a month ahead. The movies on the tv channel to pay for did not work, the response from the front desk was very slow- there were many issues with the lights and fittings in the room that did not […] work- overall a very disappointing trip. Read moreGenuine Hotels.com guest review
"Good Hotel for family and good value too !"
Very nice Hotel overall and very clean, would stay there again next time I visit Vermont. My 2 kids really enjoyed the pool too.Genuine Expedia guest review
Reviews and ratings contained within this site are the subjective opinions of customers and suppliers; they do not represent or reflect Hotels.com's position. Neither Hotels.com nor the parties involved in providing review content shall be held liable for any damages of any sort resulting from use of these reviews
We are now watching this hotel on your travel dates
( - )


text:
95 Willis Street
Dartmouth, MA 02748-3620
Tel: (508) 965-6974
Philip Lambert
Tel: (508) 965-6974
KBM Group acquires Predictys
KBM Group has acquired France-based Predictys.
KBM Group buys Marketing Direct Inc.
WPP-owned direct and digital agency KBM Group has agreed to acquire Marketing Direct Inc. (MDI), a direct and interactive agency specializing in the healthcare sector. Financial terms of the deal, which is subject to regulatory and shareholder approval, were not disclosed. It is KBM's second acquisition in two months.
Latest Jobs:
Company of the Week
As the leading source for direct marketing youth data, ASL Marketing connects your brand to consumers with extensive and unparalleled industry expertise in data content, aggregation and analytics of the youth, young adult and student demographics. We provide access to the most comprehensive, response driven youth database available - over 175 million active high school, college and young adult consumers and their parents. We offer custom solutions devised to meet your specific target and goal. Our data customization allows you to pinpoint your audience by selecting by age, ethnicity, grad year, etc... Our clients range across all industries including Financial Services, Technology, Health & Beauty, Retail, Educational Services, Recruitment, and more.
Featured Listings
ASL Marketing
As the leading source for direct marketing youth data, ASL Marketing connects your ...


text: What a place! And what service we got! We stayed at Rondo for 2 nights during the Valentine weekend. We were 9 of us. Best place to go unwind and relax. The cozy bungalows. Each room had a special touch. We all fell in love with the place and promised will be back. Being vegetarian we always have issues with... More


text:
Crest 3D Professional Effects White Strips
106 reviews
76% would repurchase
Package Quality: 4.0
Price: $$$
Package Quality: 4.0
Price: $$$
on 1/20/2014 12:50:00 AM
Age: 30-35
Skin: Acne-prone, Fair, Not Sure
Hair: Brunette, Straight, Medium
Eyes: Blue
I have had good results with these strips and I've seen improvement with just one sitting. The strips stay in place and I like that the upper and lower strips are in one tear off package together. I've received compliments after a few uses because the difference was that noticeable (in a good way, of course). Now onto what I don't like... Any part of strips that touch my gums become super sensitive to the point where it feels like my gums are scratched when I brush my teeth. If I use the strips on back to back days, my teeth become incredibly sensitive to cold items. I only use them every three days now due to that.
Any teeth whitening product will cause sensitivity, so this is an unfortunate trade off to get results.
on 12/30/2013 10:29:00 PM
Age: 18 & Under
Skin: Dry, Fair-Medium, Not Sure
Hair: Blond, Other, Other
Eyes: Blue
I used whitening strips as a tween in 7th grade -yes, I was that young- and never had a problem with them. I stopped since then and my teeth have just been average white...not amazing, blinding white, not yellow either.
My close friend's sister worked as a whitener at a dentist's office and got me these professional effects whitestrips for like $10...a steal in my mind. So I decided to use them again.
And boy, where did I go wrong.
My other friends who used them complained of tooth sensitivity, but I never had a tooth sensitivity problem in my life. So I thought I was that invincible girl who never felt pain and could wear the whitest smile of them all.
Until my first trial.
While the strip was on, I started to feel the aches and pains. Alarmed, I took them off early. I followed directions perfectly, and not even the full time. After ten minutes, my teeth started to really hurt. I did everything I could to soothe them and told myself it would go away. Then I woke up that night at like 3 in the morning, in absolute pain. My teeth were KILLING ME, I wanted to rip my teeth out so bad. I almost started crying, and was up the rest of the night.
I didn't use them for a few weeks after, and half an hour before I took the strongest ibuprofen I could find and bought toothpaste that was specifically for relieving tooth sensitivity and building enamel. And I cut the time I wore them in half, and still had tooth aches and pains, although not as severe as using them on their own.
I continued this pattern, once every week, maybe every other, dosing up on medicine and using my special toothpaste. I always whitened them before an activity so I could be distracted during the activity to not mind the aches so much.
I did notice very pleasing results, my teeth are pretty white and polished now, I do give it that, but the side effects, oh the side effects, they hurt so bad. I have mixed feelings about these. But hey, at least they were a steal. So yeah, use these with heavy drugs and medicinal toothpaste and you'll be good to go.
on 10/19/2013 8:24:00 PM
Age: 19-24
Skin: Combination, Fair-Medium, Neutral
Hair: Brown, Relaxed, Medium
Eyes: Brown
Unfortunately I belong to the people with naturally yellow teeth.
I have tried out lots of different whitening toothpastes, electric tooth brushes
and none of them have worked.I always make sure to brush my teeth properly, floss and get it polished every now and then at the dentist but since my enamel is naturally yellow there was nothing I could do.
I was considering getting my teeth professionally whitened but firstly it was way to expensive and secondly I was worried that it would make my teeth really sensitive.
I found out about the Crest 3D Whitestrips Professional Effects on Youtube and since it was only 40 Pounds I thought I could give this a try and I have to say I am really impressed. My teeth are not perfectly white (that is almost impossible to achieve anyway unless your teeth were already pretty white to begin with), but I am so happy with the results and most improtantly my teeth look complately white in photos. I didn't have any problems with tooth sensitivity either so I'm really impressed.
If you are looking for an affordable and effective teeth whitening product that you can use in the comfort of your own home then I definitely recommend using this product!
on 10/4/2013 4:12:00 PM
Age: 19-24
Skin: Combination, Fair-Medium, Not Sure
Hair: Brunette, Other, Other
Eyes: Brown
I use whitestrips once before maybe 8 years ago. They worked fine then.
I purchased these for $15 and got a $10 rebate back so I figured for $5 it was a steal.
These were IMMENSELY PAINFUL.
I don't consider my teeth sensitive but apparently they are.
About 3 hours after using my first strip, I starting dreaming that my teeth were breaking only to wake up realizing that they were actually in a ton of pain. I went back to sleep and the next day I thought it had only been a dream.
I tried it again at 2 in the afternoon. Right around dinner time my teeth were aching again.
This pain lasts for hours and happens after each application. I'm on my 7th or 8th strip, but I really don't know if it's worth it to keep going on.
I don't recommend this product.
on 10/2/2013 11:22:00 PM
Age: 36-43
Skin: Combination, Olive, Warm
Hair: Brunette, Wavy, Medium
Eyes: Brown
First let me say if you are not getting results from these YOU are either doing something wrong or your teeth are beyond any help other than professional.. These strips work AMAZING!! I get asked a lot how I got my teeth so white and had others run out and buy these with the same spectacular results..wear them for the stated time, do not drink anything while they are on and use them constantly you can't go wrong..LOVE these lil wonders..
on 9/11/2013 9:32:00 PM
Age: 18 & Under
Skin: Combination, Fair-Medium, Not Sure
Hair: Blond, Other, Other
Eyes: Blue
I once did the two hour express one, and seen no difference. BUT. I bought a 10 pack of these of ebay for £20 and have so far used 8. WOW such a huge difference, I feel so much more confident about smiling. You do get some sensitivity but its so worth it. For the gums you can't really avoid this, but what i do is i cut the strips to just fit the fronts of my teeth and then apply. This is because when you bend over teeth biting down will not hurt. I did this with the last 6 strips and had no pain.
If you are really insecure about your yellow teeth. GET THESE. if they were 3x the price i'd still buy them!!!!
on 8/20/2013 10:46:00 AM
Age: 25-29
Skin: Dry, Fair, Neutral
Hair: Brown, Straight, Fine
Eyes: Brown
I have an unhealthy addiction to coffee. I just love it. My teeth were always on the yellow side, but as late, particularly yellow. I don't smoke, or drink wine...but I'm sure I'm eating and drinking alot of things that contribute to yellowing my teeth.
Firstly, I have had professional whitening done in my dental office and had little, to basically no results for over $100. I couldn't handle the product on my teeth for any longer than 30 minutes. For the next 4 or 5 days I had sharp pains running through the depths of each tooth, and they were so sensitive, even to air.
A couple years later (being now) I decided that I'd try these strips. My twin said they work amazing and didn't hurt. Being twins, I believed this because basically everything about us, teeth included are the same! I actually saw decent results after 3 days. I didn't have any sensitivity at all! Immediately when I starting using the strips, I also used to 3D glamour effect tooth paste. The results are amazing. For under $100 I had achieved a nice white smile. I remember my parents spending a fortune on braces for me too. Braces only do so much unless your teeth are white! I just finished 9 days and my teeth are beautiful! I feel alot better about my smile! I'm so happy I tried these and recommend to anyone! These worked far better than the in office treatment! :) the only thing is, my teeth are ginormous and I wish the top strip was a mm longer :) hardly an issue though!
on 8/16/2013 10:44:00 PM
Age: 19-24
Skin: Oily, Fair-Medium, Warm
Hair: Red, Relaxed, Coarse
Eyes: Hazel
I used as directed and it provided me some amazing results. I am not a smoker or a heavy coffee drinker but I had some not so pleasant yellow permanent teeth that were like that ever since I can remember.
Whilst wearing the whitening strips I had a LOT of gum discomfort, it literally felt like my gums were on fire or something; the tooth sensitivity was so bad I had dreams were I saw myself with not teeth (the pain could have been translated into dreams during night time). But I sucked it up and completed the treatment, I'm so glad I did.
I have a super white smile and I get compliments on it all the time. I have suggested this product to my friends.
I used this almost a year ago and the results are still noticeable, compliments are still coming. I use the Crest Whitening Strips Vivid White from time to time to maintain the whiteness of my teeth.
On a side note: On an appointment with my dentist I asked about the safety of these treatments and she said she did not recommend them because they really weaken the enamel and the long term damage is irreversible. It might not be obvious now but it will be in the future, she said. So you have to be careful not to abuse this product and always follow instructions. I read on one of the comments below someone used 6 boxes (46 strips) in a time range of 10 hours and I couldn't help but squint at the abuse the peroxide must have made to her teeth.
Regardless of anything, this product is quite amazing when used properly. It's really a self esteem booster. I LOVE it!
on 8/13/2013 5:05:00 PM
Age: 25-29
Skin: Normal, Medium, Not Sure
Hair: Blond, Other, Other
Eyes: Blue
Used the entire package, followed all the instructions, and it literally did not whiten my teeth, not even a shade. My teeth are not super stained, just a normal shade of off-whitish with somewhat of a yellow tint, so it should have worked for me. After using for a couple weeks it started to irritate my gums.
on 8/7/2013 2:49:00 AM
Age: 36-43
Skin: Dry, Fair, Cool
Hair: Blond, Wavy, Fine
Eyes: Brown
LOVE LOVE LOVE. I have had professional molds done in the past (nite white) and these stripes are equal if not better. At a fraction of the cost!
They can make teeth sensitive for a while but using sensitive toothpaste settles that down.
I have gotten my sister onto them too. Pity they are not sold in Australia, bless internet shopping!
Popular Other Products


text:
Comfort Suites Las Colinas Center
1223 Greenway Cir.
Irving, TX 75038
Phone: (972) 518-0606
Fax: (972) 518-2579
The Dallas World Aquarium
1801 North Griffin Street
Dallas, TX 75202
+1 214 720 2224
Mo to Su from 09:00 AM to 05:00 PMDiscover a South American rainforest filled with monkeys, colorful toucans, crocodiles, manatees and otters. The aquarium portion of this popular attraction features 85,000 gallons (321,760 liters) of saltwater containing marine life from around the world. Giant turaco, Three-toed sloths, Weedy and Ribbon sea dragons are but a few of the intriguing animals on display. An outdoor lagoon-like exhibit features Black-footed penguins.
Earn valuable points toward free nights.


text:
I just purchased a package of 'passiflora caerulea'. The instructions say "seeds must be prechilled and soaked for 24 hours before seeding". Does that mean do both at once? Does anyone else prechill their seed before planting?
Any help greatly appreciated!
Huh? Prechill? I've never heard of that...
I do soak my seeds for a day or so in orange juice before I plant them- I read somewhere it leaches out the germination inhibitors. Seems to work well at least with my caerulea seeds as they'll germinate in a week or so. Others tho... Sigh. I picked up some digitata seeds last spring- Soaked 'em.. Planted 'em... Crossed fingers.... They're just now germinating, 10 months later.
I guess the moral of that story is never throw out passion flower seeds. There's some other varieties in the same flat who still haven't done a thing. I'll probably wait untill about this time next year & use the dirt to top-dress some pots... THen (just my luck) everything will sprout & I'll have a bunch (more) of mystery plants.
But no, I wouldn't bother prechilling them. I don't think you'll kill 'em as caerulea can survive pretty low temps (mom has a few who live through snow) but I sure wouldn't chill any tropical varieties.
The seeds haven't germinated yet. But it's only been a couple of weeks, I also bought a passion fruit from the grocery store, It was yellow; would anybody happen to know what type of passiflora this came from?
As to supplier, I purchased the seeds from a store, prepackaged (McKenzie Seeds)
The 'passiflora caerulea' prepackaged seeds haven't germinated yet after soaking in orange juice and prechilling . I planted the seeds almost a month ago.
I puchased a passion fruit from the grocery store approximately two weeks ago (the outside of the passion fruit was lemon yellow in colour); planted the seeds without soaking or prechilling. They're starting to sprout now...
I wonder if the faster germination rate was because of the fresh seed of the grocery store passion fruit? Would anybody happen to know what kind of passiflora this fruit came from?
Thanks in advance!


text:
Please enter your current email address to receive instructions on resetting your password.
Your password has been reset. Please check your email for further instructions.
You are sending a link to the page. Please completely fill out the form
Add an additional message below.
The URL for the page will automatically be added to your message.
The Blue Ridge Parkway follows the Appalachian Mountains and boasts some of the most spectacular scenery in the world.
Read more...
Sweeping vistas and hidden gems are the highlights of a Virginia mountain getaway.
Read more...
Our classic golf package includes beach accommodations and 18 holes of golf a Red Wing Lake Golf Course, located at the oceanfront. Red Wing Lake...
More Info
Stay at the Natural Bridge Park Historic Hotel and enjoy a river excursion with friends and family in the scenic Blue Ridge Mountains of Virginia. ...
More Info
Getaway to the Virginia Beach Oceanfront for a complete experience both inside and outside of the hotel. Enjoy the beach during the day and have ...
More Info
Lunch with 2 Draft Beers Included Each Round
Stay in Williamsburg and play some of the most unique courses in the area. Each course is uniq...
More Info
Discover the fun of a car-free family stay in Arlington, Virginia, at the heart of the nation's capital! Save with fantastic hotel rates that inclu...
More Info
Hampton Inn & Suites Alexandria Old Town Area South's Family Breakaway package includes:
Shuttle to Metro Station
1 La...
More Info
Discover America's Historic Triangle, where a year-round vacation package allows you to take part in engaging living-history programs and special e...
More Info
Take hold of America's beginnings in two centuries with one ticket to Jamestown Settlement and the Yorktown Victory Center, and modern-day sleeping...
More Info
Take a family getaway with a whole lot of fun and flexibility. Experience all the adventure Williamsburg and the Historic Triangle have to offer: t...
More Info
Come join us for golf on Southwest Virginia's award winning courses from Roanoak to Wytheville and Bristol and stay at your choice of our many exce...
More Info
Mother/Daughter Getaways In the Blue Ridge Mountains
"The mother/daughter relationship has the potential to be the most nourishing, s...
More Info
Master teacher and Sperryville photographer Ray Boc will lead you through two vigorous two hour sessions photographing beautiful sunrise ...
More Info
Experience birding in luxury with this package at the Mountain Rose Inn that is just for bird lovers who might want to also be guests at our Inn. E...
More Info
Join us for award winning golf in the beautiful Shenandoah Valley, from Winchester to Wytheville. Packages are also available to Williamsburg, and ...
More Info
Mayhurst Inn, Virginia Hot Air Ballooning and Oakland Heights Farm bring you an opportunity to see Virginia in a different way. Ballooning: Launch ...
More Info
Begin your vacation at the historic Mayhurst Inn which was General A.P. Hill's HQ from November 1863 to May 1864. Generals Lee and Jackson also vis...
More Info
This affordable golf vacation package features one of the best kept secrets of the Chesapeake Bay region, it's amazing golf located in and around t...
More Info
For the ultimate in flexibility and convenience, build your own Williamsburg Vacation. Start by selecting your accommodations at o...
More Info
March kicks off the Virginia is for Lovers Culinary Challenge for 2015. Restaurants, locals and visitors nominated their favorite entrée. Vote now for your favorite!
Order your Free Virginia Travel Guide.
March in Virginia
Spring in Virginia
Virginia Craft Beer
Virginia Wine
Culinary Virginia
More Articles
What's going on around Virginia? Subscribe to the Virginia eNews.
Thank You! For subscribing to the Virginia eNewsletter. You will begin receiving 2 email newsletters each month.
View Our Newsletter Archive
Online Travel Guide
Virginia Green
Weather Forecasts
Virginia iPhone Apps


text:
Food was excellent and service was top notch. My only complaint is that I'm pretty sure the bacon I ordered with breakfast was precooked and used for the breakfast buffet.
The Maumee Bay Lodge is a lovely state park hotel, with lots for families to do. Unfortunately the restaurant is only average, a missed opportunity! The menu was ordinary, and the service abysmal. Decor leaves a lot to be desired, too.
Staff was rude. We were ready to leave when one of the cooks (chef?) was walking out of the kitchen and stopped to talk to us. Not sure if she heard us conplaining, but she assured us that the food would be worth it and even apologized for the staff!!! Who does that??? Her name was Fefe or Febe. She...
Seafood Bisque is a must if you come to the restaurant!!! We also had the Spinach artichoke dip & for dessert Key Lime mini dessert!!! YUMMY!!!
Rooms are more than I felt they should be: however, once you get there you find that it is well worth every penny. You are truly @ a resort here. Everything is 1st class all the way including the service. You do have long walks because it is so spread out. You have to walk a good distance to park...
The food didn't disappoint, but it was lacking in flavor. Some seasoning would have been nice on the vegetables and rice. It was bland but good.
We had breakfast, lunch and dinner at the Waters Edge Restaurant located right at the lodge. All were terrific and the staff couldn't have been more friendly! You absolutely cannot beat sipping on a cocktail and having a great meal while watching the sun dip over the Bay!
We ate very early and the service was a bit slow. However, the food choices were good and the food was good and hot when it was brought to our table. I got room service food my final day there and it was brought up promptly and the food was still hot.
This lodge has wonderful service and good food.The rooms are very nice and very comfortable.There is a state park here and plenty of outdoors activity and a links golf course.This was the lodge chosen for President Obama to stay at when he visited Toledo ohio
We had dinner and it was delicious! I had the roast salmon, baby baked potatoes and a house salad which came with homemade Ranch dressing. My husband had the Pork chops, fruit cup and white cheddar mashed potatoes. Service was great, food was hot and wonderful and the view was beautiful! We added dessert, the bread pudding which my husband...
Register now for free — and start getting automatic notification of new reviews, responding to traveler feedback, adding new photos to your listing and much more.


text:
The nation's banks have ramped up foreclosure actions recently against delinquent homeowners, nearly a year after revelations of fraudulent filings and other questionable documentation practices slowed the number of foreclosures to a trickle, according to new data released Thursday by RealtyTrac.
Across the country, foreclosure filings were up 7 percent in August over the previous month, though some states saw significantly larger jumps. Default notices increased by 55 percent in California, 46 percent in Indiana and 42 percent in New Jersey.


text:
From School Library Journal
Copyright © Reed Business Information, a division of Reed Elsevier Inc. All rights reserved.
From Booklist
Copyright © American Library Association. All rights reserved
|Amazon Price
|New from
|Used from
Audible, Unabridged
"Please retry"
|or Free with Audible 30-day free trial
Unknown Binding
"Please retry"
Product Details
Would you like to update product info or give feedback on images?
my kids (3-7) love this series. for the 5 and 7 year olds, this is their first series of chapter books and they are so proud to have read them. book is easy to read and fun.Published 26 days ago by robert
My 8 year old daughter did not enjoy this book. It was just not her style I guess. The fact that the pig actually did not come to the rescue and that it was just a coincidence... Read morePublished 28 days ago by Mamato2
My 7 year old read it in class with his peers wanted a copy of his own. He is usually not crazy about reading, if it bought his attention I had to buy it!Published 1 month ago by Brenda
My child really enjoys reading about Mercy Watson. I homeschool and there are excellent teachers resources available online that go with this book.Published 2 months ago by Diane Boake
This is a great book for reading to a four- or five-year old who is just getting used to the idea of reading.
Pictures are wonderful and interesting. Read more


text:
For everyone
- About UCL Discovery
- Open Access
- Using UCL Discovery:
- Statistics:
- UCL Discovery on UCLTV
For UCL authors
Browse by UCL Departments and Centres
|Up a level
Group by: Author | Type
Jump to: Artefact | Article | Book | Book chapter | Digital scholarly resource | Exhibition | Other | Proceedings paper
Number of items: 43.
|Collins, S; (2003) Pixelscape. [Artefact]. Commission by Arts Council South East (Brighton) for the reception area of ACE Brighton, completed Nov 2003..
|Allington, E; (2003) The Ugly Truth. Frieze (76) 82 - 85.
|Collins, S; (2003) Inhabited Text. Millennium Film Journal (39/40) 88 - 98.
|Florence, P.; (2003) Alcyone on the jetty or the lady vanishes. New Nietzsche Studies , 5 (3/4) pp. 164-172.
|Hilliard, J; (2003) The Picture Within. Next Level (4) 52 - 55.
|Hoek, K; (2003) Not because but as if nor or but and. The Projection 5 - ?.
|Malik, A; (2003) Lorna Simpson, Then and Now. Portfolio
|Malik, A; (2003) Veil, Veiling and Representation. Portfolio
|Rideal, L; (2003) Drapery and Pattern in Portrait painting as a Source for my Work in the Photobooth with particular reference to 'The Curtain Master' William Larkin. Textile The Journal of Cloth and Culture , 1 (3) 274 - 287.
|Beckman, E; Stahl, M; (2003) Happy Pappy.
|Counsell, M; (2003) Bag. (Vol.1). Edition Villa Saint Clair
|Goodwin, D; Howarth, S; Cubitt, S; (2003) Dryden Goodwin - MONOGRAPH. Film and Video Umbrella: London UK.
|Hamlyn, N; (2003) Film art phenomena. British Film Institute
|Hilliard, J; (2003) The Less Said the Better. Verlag das Wunderhorn: Heidelberg.
Book chapter
|Hilliard, J; (2003) Inflamed and Consumed. In: Matt, G and Hartel, G, (eds.) Love/Hate. (46 - 49). Triton Verglag: Vienna.
|Hoek, K; (2003) Not because but as if nor or but and. In: van der Geest, N and Zijmans, K, (eds.) Curry. (51 - 61). Hogeschool voor Kunsten Utrecht: Utrecht.
Digital scholarly resource
|Jackson, M; (2003) Spreading Like Wildfire. [Digital scholarly resource]. http://diffusion.org.uk/?p=60
|Rideal, L; (2003) Transition/Connections. The Developing Portrait: Painting towards Photography. [Digital scholarly resource]. http://www.npg.org.uk/learning/digital/portraiture/transition-connections.php
|Bright, K.; (2003) Kate Bright. [Exhibition]. New Art Gallery, Walsall, UK. 24 July - 14 September 2003.
|Bright, K.; (2003) Kate Bright. [Exhibition]. Centro de Arte Salamanca, Spain. 03 February - 30 March 2003.
|Head, T.; (2003) Days like these. [Exhibition]. Tate Britain, London, UK. 26 February - 26 May 2003.
|Masi, D.; (2003) Fine Art Scholars and Fellows Exhibition. [Exhibition]. The British School at Rome, Italy. 16-20 September 2003.
|Stahl, A.; (2003) New Paintings and Drawings: Bangkok Mosaic. [Exhibition]. 100 Tonson Gallery, Bangkok. 11 Dec 2003 - 4 Jan 2004.
|Stevens, G.; (2003) Slow life. [Exhibition]. Matt's Gallery, London. 05 - 17 March 2003.
|Woodley, G.; (2003) Impingement No. 44. [Exhibition]. The Gallery, Grange House, Guernsey. 28 March - 10 April 2003.
|Goodwin, D; (2003) Above/Below. UNSPECIFIED
|Goodwin, D; (2003) Dilate. UNSPECIFIED
|Goodwin, D; (2003) Reveal (short film). UNSPECIFIED
|Goodwin, D; (2003) Two Thousand and Three. UNSPECIFIED
|Goodwin, D; (2003) Reveal. UNSPECIFIED
|Goodwin, D; (2003) Above/Below. UNSPECIFIED
|Fairclough, L; (2003) Screening of Steppe at Symposium for Screen Studies, Moving Back into the Gallery, University of London. UNSPECIFIED
|Faithfull, S; (2003) 13 Messages. UNSPECIFIED
|Faithfull, S; (2003) Terrestrial Investigation #256. UNSPECIFIED
|Jones, L; (2003) Yellowday. UNSPECIFIED
|Proud, D; (2003) The Bar. UNSPECIFIED
|Thomson, J; (2003) Short Films about Flying. UNSPECIFIED
|Thomson, J; Craighead, A; (2003) Rhizome Digest. UNSPECIFIED
|Volley, J; (2003) The Moment. UNSPECIFIED
Proceedings paper
|Goodwin, D; (2003) Speaker at Bunkier Gallery, Krakow, Poland, part discussion around Reality Check. In:
|Goodwin, D; (2003) Speaker at National Film Theatre, London, UK. Artists Film and Video Season. In:
|Collins, S; (2003) UNSPECIFIED In: (Proceedings) user_mode = emotion + intuition in art + design. Tate: London.
|Rideal, L; (2003) The Curtain Master: Drapery and Pattern in Larkin's Early British Portrait Paintings and its Affinity with my Work in the Photo Booth. In: Textile: the journal of cloth and culture. (pp. 274 - 287). Berg: Oxford and New York.


text:
This dense and concentrated Amarone offers an intense bouquet of marinated cherry, blackberry and tobacco. The palate delivers rich flavors of blackberry, prune, licorice and a touch of carob, along with round tannins and soft acidity. It has layers of flavor and nice depth. Drink through 2017.
(11/ 2013)
Below is a listing of the wine review scores we frequently reference in our notes. While these sources remain an excellent source of information, we always recommend that you trust your own palate. Scores in these publications often represent the personal taste of an individual critic, which may not always coincide with your own. We have a huge team of excellent wine professionals that can match wines you've had in the past with new arrivals that meet your flavor profile.
The item you have chosen is not in stock in our retail stores or within our main
2012 Poggio al Tufo "Rompicollo" Toscana
Montechiara Prosecco DOC
2010 Cantele Salice Salentino Riserva
2013 Blason Pinot Grigio Isonzo (1L)
2009 Poggiarellino Brunello di Montalcino


text:
The Rubber Overshoe from Tingley is 100% waterproof and helps protect your leather riding boots from the damaging effects of mud, rain, snow, salt, horse urine and manure. Tread pattern provides traction on slippery surfaces. Fits snugly over any paddock or tall boot.
Ariat® Ladies' Santa Cruz Clogs with premium, full-grain leather uppers have a subtle elastic fit system at the instep for comfort. These close-back clogs pair well with casual wear and feel great when you slip off those riding boots. Cushioned, leather-covered footbed, lightweight and flexible PU midsole and Duratread ™ inserts combine to support your feet.
The Saxon Equileather™ Field Boot combines durability and classic style with easy-care convenience. The leather-look boot requires no polishing, just cleaning with soap and water. Lined with moisture-wicking Cambrelle® to help move perspiration away from your skin, it has a YKK® back zipper for easy on/off.
Easy-care Saxon Equileather™ Half Chaps look and feel like leather. Just wipe them clean to restore their original luster. These synthetic leather half chaps are styled with a Spanish cut top, durable YKK® zipper and an elastic panel that allows it to hug your calf.
Saxon Simplicity Boots are incredibly comfortable and easy to wear. Designed as a half chap and paddock boot all in one, it features a synthetic suede shaft with padding on the inner aspect and an elastic panel on the outer aspect.
Comfortable, durable and great-looking Barnstable Schooling Chaps stand up to daily wear. These split cowhide riding chaps adjust at the front and back.


text:
Obama vs. Bibi
Over the past six years, the bad chemistry has persisted.
News, Analysis and Opinion from POLITICO
Over the past six years, the bad chemistry has persisted.
The House speaker says he extended the invitation as a branch of the federal government that is equal to the White House.
During an interview on CBS's 'Face The Nation,' Sen. John McCain discussed the relationship between the U.S. relationship and Israel.
He says Israel's prime minister should explain his case for ending negotiations with Iran.
He responds to questions about the president not meeting with Netanyahu.
What Boehner's invitation to Netanyahu says about Washington's mess.
An administration adviser cites an upcoming Israeli election as a reason the two will not meet.
She says it's 'out of the ordinary' to invite a foreign leader to address Congress without consulting the minority party.
House Speaker John Boehner announces that he's invited Israeli Prime Minister Benjamin Netanyahu to speak to a joint session of Congress about...
The speaker didn't consult with the administration before inviting Netanyahu to address Congress about Iran.
"Groups that threaten Israel cannot be allies of the U.S.," he says.
Israeli settlers pelt a U.S. Consulate General vehicle with stones.
Statute "addresses the concerns of only one side," U.N. Ambassador Power says.
He is being advertised as an attraction at a string of resort vacation getaways catering to religious Jews.
The GOP governor meets with Prime Minister Benjamin Netanyahu.
The simmering stalemate between Hamas and Fatah will not end well.
On this day in 1971, the diplomat who negotiated a truce between Arabs and Jews in Palestine in 1949 dies.
In appearance with a pro-Israel donor, she defends the White House on Iran.
The trip is bound to stoke speculation about a potential 2016 bid.
A fictional story.


text:
Happy Hour: Hot Toddy
Keep Colds at Bay With a Hot Toddy
Bone-chilling, wet weather calls for beverages that shake off the chills like this hot toddy, made with bourbon and sweetened with honey and brown sugar.
Many swear by its cold-healing capabilities. Whether or not that's true, the warming spices, zesty lemon, and sweet flavor surely ease the symptoms.
From POPSUGAR Food
7 ounces hot water
Hot Toddy
1 1/2 ounces bourbon whiskey
3/4 ounces lemon juice
1 tablespoon honey
1 teaspoon brown sugar
2 whole star anise
5 cloves
Lemon wedge, for garnish
From POPSUGAR Food
7 ounces hot water
Holiday Food
- The Jevo can make up to 120 Jell-O shots an hour — Grub Street
- This plan-ahead cooking strategy will save you tons of time — Southern Living
- Peek inside Marcela Valladolid's stunning California kitchen — Food Network
- Ham recipes that will take your Easter to the next level — HuffPost Taste
- 7 of the best recipes that use honey — Food52
- This recipe will remind you why you love English muffins — PureWow