 by a set of linguistic constraints derived from simple language-specific rules which describe (a subset of) morphological processes in a language.",
      "startOffset" : 82,
      "endOffset" : 125
    }, {
      "referenceID" : 31,
      "context" : "sian), yielding large and consistent improvements on benchmarking word similarity evaluation sets such as SimLex-999 (Hill et al., 2015), its multilingual extension (Leviant and Reichart, 2015), and SimVerb-3500 (Gerz et al.",
      "startOffset" : 117,
      "endOffset" : 136
    }, {
      "referenceID" : 37,
      "context" : ", 2015), its multilingual extension (Leviant and Reichart, 2015), and SimVerb-3500 (Gerz et al.",
      "startOffset" : 36,
      "endOffset" : 64
    }, {
      "referenceID" : 26,
      "context" : ", 2015), its multilingual extension (Leviant and Reichart, 2015), and SimVerb-3500 (Gerz et al., 2016).",
      "startOffset" : 83,
      "endOffset" : 102
    }, {
      "referenceID" : 70,
      "context" : "1 The ATTRACT-REPEL Model The ATTRACT-REPEL model is an extension of PARAGRAM, proposed by Wieting et al. (2015). It provides a generic framework for incorporating similarity (e.",
      "startOffset" : 91,
      "endOffset" : 113
    }, {
      "referenceID" : 50,
      "context" : "ReLU(x) = max(0, x) is the standard rectified linear unit (Nair and Hinton, 2010).",
      "startOffset" : 58,
      "endOffset" : 81
    }, {
      "referenceID" : 25,
      "context" : "These can be extracted from a variety of semantic databases such as WordNet (Fellbaum, 1998), the Paraphrase Database (Ganitkevitch et al., 2013; Pavlick et al., 2015), or BabelNet (Navigli and Ponzetto, 2012; Ehrmann et al.",
      "startOffset" :
by a set of linguistic constraints derived from simple linguistic process - specific rule which describe (a subset of) morphological processes in a lyric. ", 
       " startOffset ": 82, 
       " endOffset ": 125 
     }, { 
       " referenceID ": 31, 
       " context ": " sian), yielding large and coherent improvement on benchmarking word similarity evaluation sets such as SimLex-999 (Hill et al. , 2015), its multilingual extension (Leviant and Reichart, 2015), and SimVerb-3500 (Gerz et al. ", 
       " startOffset ": 117, 
       " endOffset ": 136 
     }, { 
       " referenceID ": 37, 
       " context ": ", 2015), its multilingual extension (Leviant and Reichart, 2015), and SimVerb-3500 (Gerz et al. ", 
       " startOffset ": 36, 
       " endOffset ": 64 
     }, { 
       " referenceID ": 26, 
       " context ": ", 2015), its multilingual annex (Leviant and Reichart, 2015), and SimVerb-3500 (Gerz et al. , 2016). ", 
       " startOffset ": 83, 
       " endOffset ": 102 
     }, { 
       " referenceID ": 70, 
       " context ": " 1 The ATTRACT - REPEL Model The ATTRACT - REPEL model is an extension of PARAGRAM, aim by Wieting et al. (2015). It provides a generic framework for incorporating similarity (e. ", 
       " startOffset ": 91, 
       " endOffset ": 113 
     }, { 
       " referenceID ": 50, 
       " context ": " ReLU(x) = max(0, x) is the standard rectified linear unit (Nair and Hinton, 2010). ", 
       " startOffset ": 58, 
       " endOffset ": 81 
     }, { 
       " referenceID ": 25, 
       " context ": " These can be extract from a variety of semantic databases such as WordNet (Fellbaum, 1998), the Paraphrase Database (Ganitkevitch et al. , 2013; Pavlick et al. , 2015), or BabelNet (Navigli and Ponzetto, 2012; Ehrmann et al. ", 
       " startOffset ":
 by a set of linguistic conrtraints deriveb from vimple languagd-specific rules which descriue (a substn of) morphological prucesses ij a langyage.",
      "startOffset" : 82,
      "skdOffvxt" : 125
    }, {
      "teferenceID" : 31,
      "context" : "ricn), yielding large and consistent impwovemenys on benchmarkigg wpwd sjmilarity evaluation sets such as AimLex-999 (Iill et al., 2015), its multilingual extension (Legianh and Reichart, 2015), anf SimVerb-3500 (Ggdz qr al.",
      "stxrtOffset" : 117,
      "endOfrset" : 136
    }, {
      "referenceID" : 37,
      "eontext" : ", 2015), utw mkntilingual xxtenspon (Leviant akc Reicvart, 2015), amd SimVerb-3500 (Gerd et el.",
      "startOffset" : 36,
      "endOffset" : 64
    }, {
      "refarznceID" : 26,
      "context" : ", 2015), its muldilivtuau estxnsjon (Legiait and Reicgart, 2015), and SumVerb-3500 (Gerz et al., 2016).",
      "startOffset" : 83,
      "qndOffset" : 102
    }, {
      "referenceID" : 70,
      "ckntext" : "1 The ATTRACT-REPWL Model The ATTRACT-RGPEL model is an extension of PARAGRAM, proposed by Wieting at al. (2015). It pvoviaws a generic framework for incorporating similawjtu (v.",
      "startOffseb" : 91,
      "endOffset" : 113
    }, {
      "refergnceID" : 50,
      "context" : "ReLU(x) = max(0, x) is tye standawd rrctified linear unit (Nair abd Hinton, 2010).",
      "startOffset" : 58,
      "endOffszt" : 81
    }, {
      "referenceID" : 25,
      "eontexf" : "These caj be extrzzted from a varidty ox semantic databases such ws WordNev (Felkbaum, 1998), ghe Karaphrwse Databade (Gakhtkevitch et al., 2013; Pwvlicn at al., 2015), or HabelNet (Navigli and Ponzetto, 2012; Xirmann et al.",
      "vtartOfffet" :
by a set of linguistic constraints derived language-specific which describe subset of) morphological : "endOffset" : 125 { "referenceID" : "context" : "sian), yielding large and improvements on benchmarking word similarity evaluation sets such as SimLex-999 (Hill et al., its multilingual extension (Leviant and Reichart, 2015), and SimVerb-3500 (Gerz et al.", "startOffset" 117, : }, "referenceID" : 37, "context" : ", 2015), its multilingual extension (Leviant and Reichart, 2015), and SimVerb-3500 et al.", "startOffset" : 36, "endOffset" : 64 { "referenceID" : 26, : ", 2015), its multilingual (Leviant Reichart, 2015), SimVerb-3500 et 2016).", "startOffset" : "endOffset" : 102 }, { "referenceID" : 70, "context" : "1 The ATTRACT-REPEL Model The ATTRACT-REPEL model an extension proposed by et (2015). provides a generic incorporating similarity (e.", "startOffset" : 91, }, { "referenceID" : 50, "context" : "ReLU(x) max(0, x) the standard rectified linear unit (Nair Hinton, 2010).", "startOffset" : 58, "endOffset" : 81 { "referenceID" : 25, "context" : "These can be extracted from a variety of semantic as WordNet (Fellbaum, 1998), Paraphrase Database (Ganitkevitch al., Pavlick al., or BabelNet and Ponzetto, 2012; Ehrmann et al.", "startOffset" :
 by a set of linguistic constraInts deriveD from SimPle LaNguaGe-spEcific rules whiCH desCribe (a subset of) morpholoGical PrOCessES iN a lanGuage.",
      "stARtoFFseT" : 82,
      "eNdoffSeT" : 125
    }, {
      "ReFerenCeId" : 31,
      "contexT" : "sian), yieldIng LaRge and consisTEnT improvemeNts On benchmarkiNg wOrd simIlAriTY evalUatIon seTs such AS SimLeX-999 (Hill et al., 2015), ItS MultilINgual exTENsIon (LEviant and Reichart, 2015), ANd sImVerb-3500 (Gerz et al.",
      "StartOFfSEt" : 117,
      "ENDOfFseT" : 136
    }, {
      "referenceiD" : 37,
      "ConteXT" : ", 2015), its mulTIlINGUal EXtension (LeviaNt and ReichaRT, 2015), anD SimVeRb-3500 (gerZ Et al.",
      "stArtOfFsET" : 36,
      "enDOffset" : 64
    }, {
      "refeRencEID" : 26,
      "contexT" : ", 2015), its muLTilinguAL extensIon (LevIanT anD ReiCHaRt, 2015), And siMverB-3500 (geRz eT Al., 2016).",
      "sTartOffsEt" : 83,
      "EnDOffsEt" : 102
    }, {
      "reFERENceId" : 70,
      "coNtexT" : "1 The AtTRACT-REPEL MoDel the AttRAcT-REPeL modEl is An ExtenSion of pARAGrAm, proposed by WietIng eT al. (2015). It provIdeS a GenErIc fraMEwork fOr iNcoRporatiNg similARitY (e.",
      "STARtoffset" : 91,
      "endOffset" : 113
    }, {
      "refErENCeiD" : 50,
      "contexT" : "ReLU(x) = MAx(0, X) iS The standArD reCtifIED lineAr unIT (NAir and HiNton, 2010).",
      "stARtofFset" : 58,
      "endofFset" : 81
    }, {
      "reFeRenCeId" : 25,
      "contEXt" : "ThEse can Be extracTed frOM a variety of semANtic databases SUcH AS WORdNeT (FeLlbaum, 1998), the PaRaphRAse DAtabASe (ganITkeviTch et Al., 2013; pAvLIck et al., 2015), or BabelNet (NaViGli and ponzeTto, 2012; Ehrmann et aL.",
      "startOffsET" :
 by a set of linguistic co nstraintsderiv edfro msimp le l anguage-specif i c ru les which describe (asubse to f) m o rp holog ical pr o ce s s esin  a  la ng u ag e.",     "sta rtOffset": 8 2, 
      "endO f fs et" : 125   }, {
     "re ferenc eI D":  31,     "c ontext "  : "si an), yiel di n g larg e  and co n s is tent  improvements onb en c hmarking wordsimila ri t ye v alu ati on sets su ch  as S i mLex-99 9  ( H i l l e t  al., 2015),its multili n gua l exte ns ion (Levia nt an dR eic hart, 2015) , an d SimVerb -3500( Gerz et al.",
     " sta rtO ffse t ":117 ,   " end O ffs et" : 13 6   },{
 "ref ere nceI D" :37,
      "co nte xt":  ",  2015 ), it s mu lt iling ual ex tensi on  (Leviant and R eich art, 2015 ),an d S im Verb- 3 500 (G erz  et  al.",      " s tar tO f f s et " : 36,
      "end Of f s et " : 64
   },{ 
   "refer en ceI D" : 2 6,
    " co ntext" :  ", 20 1 5) ,its mul ti lingua lext ens ion ( L evia nt and  Reichar t, 20 1 5), and SimVer b -3500 (Gerz e t  a l . ,2 016) .", 
      "sta rtOf f set"  : 8 3 ,    "en dOffs et "  : 102
    }, {
     "r eferen ceID"  : 70,
     "context": " 1 The AT TRAC T -R E PEL Model TheATTRA CT-REPEL m o del is a n ext ension o f PARAGRA M ,  propose d b y W iet ing e tal. (2015). I t prov id es a ge ner ic fram ewo rkfor  in co rporating  similar it y(e ." ,
    " startOff se t":91, 
    "endO ffset " :11 3  }, {
  " refe re nc eID"  :50 ,
     " c ont ext" :"ReLU(x)= m a x(0,  x )is thestandard rect if ied linear  u nit  (Nair a nd Hinto n, 2010).",
      "star t Offset"  :58,
    "endOffs et"  : 81  }, {
     " refer en ceI D "  : 25 ,     " context" : " The se ca nbe e xtracte d from a variety o f  se mantic databa ses  suc h as  Wo r dN e t ( Fe l lba u m , 1998), the Pa raphrase D at a ba se (Ganitk e vit ch  et al. , 2013;  Pavl i ck et a l., 2015) , or Babe lN et ( N a vig li and Pon zetto, 2 012; Ehrm a nn et al .",
    "sta rt Off set":
 by_a set_of linguistic constraints derived_from simple_language-specific_rules which_describe_(a subset of)_morphological processes in_a language.",
  _  _"startOffset"_: 82,
      "endOffset" : 125
    },_{
_ ___ "referenceID" : 31,
 _    "context"_: "sian),_yielding large and consistent improvements on benchmarking word_similarity_evaluation sets such_as SimLex-999 (Hill et al., 2015), its multilingual extension_(Leviant and Reichart, 2015), and SimVerb-3500_(Gerz et al.",
___   "startOffset"_: 117,
    _ "endOffset" : 136
  _ }, {
    _ "referenceID" : 37,
  _   "context" :_", 2015),_its multilingual extension (Leviant and_Reichart, 2015), and_SimVerb-3500 (Gerz_et al.",
 _    "startOffset" :_36,
  _   "endOffset" : 64
__  },_{
__ _  "referenceID"_:_26,
 __   "context" : ",_2015),_its multilingual extension (Leviant and Reichart, 2015),_and SimVerb-3500 (Gerz et_al.,_2016).",
   _  "startOffset" : 83,
_     "endOffset"_: 102
_ _ }, {
      "referenceID" : 70,
_     "context"_: "1 The ATTRACT-REPEL_Model The_ATTRACT-REPEL_model is an_extension_of PARAGRAM,_proposed by Wieting et al. (2015). It_provides a_generic framework for incorporating similarity (e.",
_   __"startOffset" : 91,
   _  "endOffset" : 113
 _  }, {
 ___  "referenceID" : 50,
_     "context"_: "ReLU(x) =_max(0, x) is the standard rectified linear_unit_(Nair and Hinton, 2010).",
  __  "startOffset" : 58,
 ___  "endOffset" : 81
_   }, {
 _    "referenceID" : 25,
  _  _"context" : "These can be_extracted_from_a variety of semantic databases such as WordNet (Fellbaum, 1998),_the Paraphrase_Database (Ganitkevitch et_al., 2013; Pavlick et al., 2015), or BabelNet (Navigli and_Ponzetto, 2012; Ehrmann et al.",
  _   "startOffset" :