Identifying semantic roles using Combinatory Categorial Grammar Export

@inproceedings{GildeaHockenmaier:03, 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.}, address = {Morristown, NJ, USA}, author = {Gildea, Daniel and Hockenmaier, Julia}, booktitle = {Proceedings of the 2003 conference on Empirical methods in natural language processing}, citeulike-article-id = {5447099}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1119355.1119363}, citeulike-linkout-1 = {http://dx.doi.org/10.3115/1119355.1119363}, doi = {10.3115/1119355.1119363}, pages = {57--64}, posted-at = {2009-08-17 13:18:11}, priority = {2}, publisher = {Association for Computational Linguistics}, title = {Identifying semantic roles using Combinatory Categorial Grammar}, url = {http://dx.doi.org/10.3115/1119355.1119363}, year = {2003} }

TY - CONF ID - GildeaHockenmaier:03 L3 - citeulike-article-id:5447099 N2 - 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. AD - Morristown, NJ, USA EP - 64 TI - Identifying semantic roles using Combinatory Categorial Grammar PB - Association for Computational Linguistics T2 - Proceedings of the 2003 conference on Empirical methods in natural language processing SP - 57 AU - Gildea, Daniel AU - Hockenmaier, Julia PY - 2003/// UR - http://dx.doi.org/10.3115/1119355.1119363 ER -