Paper: Semantic Case Role Detection For Information Extraction

ACL ID C02-2011
Title Semantic Case Role Detection For Information Extraction
Venue International Conference on Computational Linguistics
Session project notes
Year 2002
Authors

If information extraction wants to make its results more accurate, it will have to resort increasingly to a coherent implementation of natural language semantics. In this paper, we will focus on the extraction of semantic case roles from texts. After setting the essential theoretical framework, we will argue that it is possible to detect case roles on the basis of morphosyntactic and lexical surface phenomena.