Paper: Using Discourse Information for Paraphrase Extraction

ACL ID D12-1084
Title Using Discourse Information for Paraphrase Extraction
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2012
Authors

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 for collecting para- phrases relying on the sequential event or- der in the discourse, using multiple sequence alignment with a semantic similarity measure. We show that adding discourse information boosts the performance of sentence-level para- phrase acquisition, which consequently gives a tremendous advantage for extracting phrase- level paraphrase fragments from matched sen- tences. Our system beats an informed baseline by a margin of 50%.