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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.
|Title of host publication||HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing|
|Publisher||Association for Computational Linguistics|
|Number of pages||8|
|Publication status||Published - 2005|
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- 2 Finished
Statistical model for text-to-text generation
1/02/05 → 28/02/11
Robust pragmatics for narrative text
1/03/02 → 30/06/05