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Identifying Semantic Roles Using Combinatory Categorial Grammar

Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing, EMNLP 2003 (2003) 57-64
DOI: 10.3115/1119355.1119363
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Abstract

We present a system for automatically identifying PropBank-style semantic roles based on the output of a statistical parser for Combinatory Categorial Grammar. This system performs at least as well as a system based on a traditional Treebank parser, and outperforms it on core argument roles.

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APA

Gildea, D., & Hockenmaier, J. (2003). Identifying Semantic Roles Using Combinatory Categorial Grammar. In Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing, EMNLP 2003 (pp. 57–64). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1119355.1119363

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