1. A method, implemented by one or more computing devices, of summarizing search results from a corpus, the method comprising: re-weighting, by the one or more computing devices, documents based at least in part on a latent topic to identify topic phrases associated with candidate phrases occurring within one or more of the documents, the re-weighting comprising strengthening a subset of the documents that are indicated by the latent topic by adjusting document weights to increase a term frequency of one or more terms within the subset of the documents associated with the latent topic; evaluating, by the one or more computing devices, based in part on the increase of the term frequency of the one or more terms, a modified latent semantic analysis (LSA)-weighted frequency of one or more documents of the subset of the documents to identify the topic phrases; and filtering, by the one or more computing devices, the documents having similar topic phrases to remove redundancy of the similar topic phrases.
6. The method of claim 1 , wherein the filtering comprises: evaluating a dissimilarity score between a pair of the topic phrases in the documents, wherein the filtering is based at least on a basis of the dissimilarity score.