Paraphrase Extraction

. This paper presents a lightweight method for unsupervised extraction of paraphrases from arbitrary textual Web documents. The method differs from previous approaches to paraphrase acquisition in that 1) it …...

Previous work has used monolingual par- allel corpora to extract and generate para- phrases. We show that this task can be done using bilingual parallel corpora, a much more commonly …...

We propose a method that incorporates paraphrase information from the Web to boost the performance of a supervised re- lation extraction system. Contextual infor- mation is extracted from the Web …...

This paper proposes a method that extracts paraphrases from search engine query logs. The method first extracts paraphrase query-title pairs based on an assumption that a search query and its …...

We propose an automatic method of extracting paraphrases from definition sentences, which are also automatically acquired from the Web. We observe that a huge number of concepts are defined in …...

Previous work on paraphrase extraction and application has relied on either parallel datasets, or on distributional similarity met- rics over large text corpora. Our approach combines these two orthogonal sources …...

We describe a novel method that extracts paraphrases from a bitext, for both the source and target languages. In order to reduce the search space, we decom- pose the phrase-table …...

Previous work on paraphrase extraction us- ing parallel or comparable corpora has gener- ally not considered the documents’ discourse structure as a useful information source. We propose a novel method …...

The use of pivot languages and word- alignment techniques over bilingual cor- pora has proved an effective approach for extracting paraphrases of words and short phrases. However, inherent ambiguities in …...