Paper: Discourse Chunking And Its Application To Sentence Compression

ACL ID H05-1033
Title Discourse Chunking And Its Application To Sentence Compression
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2005
Authors

In this paper we consider the problem of analysing sentence-level discourse struc- ture. We introduce discourse chunking (i.e. , the identification of intra-sentential nucleus and satellite spans) as an al- ternative to full-scale discourse parsing. Our experiments show that the proposed modelling approach yields results com- parable to state-of-the-art while exploit- ing knowledge-lean features and small amounts of discourse annotations. We also demonstrate how discourse chunking can be successfully applied to a sentence com- pression task.