@conference {shen-lapata:2007EMNLP:Sem-roles-improve_QA,
	title = {Using Semantic Roles to Improve Question Answering},
	booktitle = {Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)},
	year = {2007},
	pages = {12{\textendash}21},
	abstract = {Shallow semantic parsing, the automatic identification and labeling of sentential constituents, has recently received much attention. Our work examines whether semantic role information is beneficial to question answering. We introduce a general framework for answer extraction which exploits semantic role annotations in the FrameNet paradigm. We view semantic role assignment as an optimization problem in a bipartite graph and answer extraction as an instance of graph matching. Experimental results on the TREC datasets demonstrate improvements over state-of-the-art models.},
	url = {http://www.aclweb.org/anthology/D/D07/D07-1002},
	author = {Shen, Dan and Mirella Lapata}
}
