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||Proceedings of the 2005 Human Language Technology Conference and the Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP-05)|
|Place of Publication||Vancouver, Canada|
|Number of pages||8|
|Publication status||Published - 2005|
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) (pp. 8). Vancouver, Canada: Unknown Publisher.