Paper: Multiple Alignment of Citation Sentences with Conditional Random Fields and Posterior Decoding

ACL ID D07-1089
Title Multiple Alignment of Citation Sentences with Conditional Random Fields and Posterior Decoding
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2007
Authors

In scientific literature, sentences that cite re- lated work can be a valuable resource for applications such as summarization, syn- onym identification, and entity extraction. In order to determine which equivalent en- tities are discussed in the various citation sentences, we propose aligning the words withinthesesentencesaccordingtosemantic similarity. This problem is partly analogous to the problem of multiple sequence align- ment in the biosciences, and is also closely relatedtothewordalignmentprobleminsta- tistical machine translation. In this paper we address the problem of multiple citation concept alignment by combining and mod- ifying the CRF based pairwise word align- ment system of Blunsom & Cohn (2006) and a posterior decoding based multiple se- quence alignment algorithm of S...