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Discourse Chunking and its Application to Sentence Compression

Sporleder,C.E.
; 
Lapata,M.
Abstract
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.
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Pagination: 8
Date
2005
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Unknown Publisher
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Tilburg University Research Output Collection
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Citation
Sporleder, C E & Lapata, M 2005, Discourse Chunking and its Application to Sentence Compression. in Proceedings of the 2005 Human Language Technology Conference and the Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP-05). Unknown Publisher, Vancouver, Canada, pp. 8.
URI
https://hdl.handle.net/20.500.14602/10561
License
info:eu-repo/semantics/restrictedAccess
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