Discourse Chunking and its Application to Sentence Compression

Caroline Sporleder, Maria Lapata

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this paper we consider the problem of analysing sentence-level discourse structure. We introduce discourse chunking (i.e., the identification of intra-sentential nucleus and satellite spans) as an alternative to full-scale discourse parsing. Our experiments show that the proposed modelling approach yields results comparable to state-of-the-art while exploiting knowledge-lean features and small amounts of discourse annotations. We also demonstrate how discourse chunking can be successfully applied to a sentence compression task.
Original languageEnglish
Title of host publicationHLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
PublisherAssociation for Computational Linguistics
Number of pages8
Publication statusPublished - 2005


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