Identifying Semantic Roles Using Combinatory Categorial Grammar

Daniel Gildea; Julia Hockenmaier

doi:10.3115/1119355.1119363

Identifying Semantic Roles Using Combinatory Categorial Grammar

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English (US)
Pages	57-64
Number of pages	8
DOIs	https://doi.org/10.3115/1119355.1119363
State	Published - 2003
Externally published	Yes
Event	8th Conference on Empirical Methods in Natural Language Processing, EMNLP 2003 - Sapporo, Japan Duration: Jul 11 2003 → Jul 12 2003

Conference

Conference	8th Conference on Empirical Methods in Natural Language Processing, EMNLP 2003
Country/Territory	Japan
City	Sapporo
Period	7/11/03 → 7/12/03

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Science Applications
Information Systems

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10.3115/1119355.1119363

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author = "Daniel Gildea and Julia Hockenmaier",

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T2 - 8th Conference on Empirical Methods in Natural Language Processing, EMNLP 2003

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Identifying Semantic Roles Using Combinatory Categorial Grammar

Abstract

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