Discourse Chunking and its Application to Sentence Compression

C.E. Sporleder, M. Lapata

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    43 Citations (Scopus)


    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 publicationProceedings of the 2005 Human Language Technology Conference and the Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP-05)
    Place of PublicationVancouver, Canada
    PublisherUnknown Publisher
    Number of pages8
    Publication statusPublished - 2005


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