Fine-grained named entity recognition and relation extraction for question answering

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Fine-grained named entity recognition and relation extraction for question answering

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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval table of contents

Amsterdam, The Netherlands

POSTER SESSION: Posters table of contents

Pages: 799 - 800

Year of Publication: 2007

ISBN:978-1-59593-597-7

Authors

Changki Lee	Electronics and Telecommunications Research Institute, Daejeon, South Korea
Yi-Gyu Hwang	Electronics and Telecommunications Research Institute, Daejeon, South Korea
Myung-Gil Jang	Electronics and Telecommunications Research Institute, Daejeon, South Korea

Sponsors

ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

ACM New York, NY, USA

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Michael Fleischman , Eduard Hovy, Fine grained classification of named entities, Proceedings of the 19th international conference on Computational linguistics, p.1-7, August 24-September 01, 2002, Taipei, Taiwan [doi>10.3115/1072228.1072358]
	2	Gideon S. Mann, Fine-grained proper noun ontologies for question answering, COLING-02 on SEMANET: building and using semantic networks, p.1-7, September 01, 2002 [doi>10.3115/1118735.1118746]
	3	Eugene Agichtein , Silviu Cucerzan , Eric Brill, Analysis of factoid questions for effective relation extraction, Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, August 15-19, 2005, Salvador, Brazil [doi>10.1145/1076034.1076131]
	4	Fei Sha , Fernando Pereira, Shallow parsing with conditional random fields, Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, p.134-141, May 27-June 01, 2003, Edmonton, Canada [doi>10.3115/1073445.1073473]
	5	H. Kim, J. Wang, C. Lee, C. Lee, M. Jang. A LF based Answer Indexing Method for Encyclopedia Question Answering System, AIRS, 2004.
	6	K. Han, H. Chung, S. Kim, Y. Song, J. Lee, H. Rim. Korea University Question Answering System at TREC 2004, TREC, 2004.
	7	Deepak Ravichandran , Eduard Hovy, Learning surface text patterns for a Question Answering system, Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, July 07-12, 2002, Philadelphia, Pennsylvania [doi>10.3115/1073083.1073092]