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 ABSTRACT
We present a new technique for question answering called Predictive Annotation. Predictive Annotation identifies potential answers to questions in text, annotates them accordingly and indexes them. This technique, along with a complementary analysis of questions, passage-level ranking and answer selection, produces a system effective at answering natural-language fact-seeking questions posed against large document collections. Experimental results show the effects of different parameter settings and lead to a number of general observations about the question-answering problem.
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.
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CITED BY 53
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Susan Dumais , Michele Banko , Eric Brill , Jimmy Lin , Andrew Ng, Web question answering: is more always better?, Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, August 11-15, 2002, Tampere, Finland
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Dragomir R. Radev , Hong Qi , Zhiping Zheng , Sasha Blair-Goldensohn , Zhu Zhang , Weiguo Fan , John Prager, Mining the web for answers to natural language questions, Proceedings of the tenth international conference on Information and knowledge management, October 05-10, 2001, Atlanta, Georgia, USA
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Eric Brown , Savitha Srinivasan , Anni Coden , Dulce Ponceleon , James Cooper , Arnon Amir , Jan Pieper, Towards speech as a knowledge resource, Proceedings of the tenth international conference on Information and knowledge management, October 05-10, 2001, Atlanta, Georgia, USA
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E. W. Brown , S. Srinivasan , A. Coden , D. Ponceleon , J. W. Cooper , A. Amir, Toward speech as a knowledge resource, IBM Systems Journal, v.40 n.4, p.985-1001, October 2001
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Jennifer Chu-Carroll , Krzysztof Czuba , John Prager , Abraham Ittycheriah, In question answering, two heads are better than one, Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, p.24-31, May 27-June 01, 2003, Edmonton, Canada
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Harksoo Kim , Kyungsun Kim , Gary Geunbae Lee , Jungyun Seo, MAYA: a fast Question-answering system based on a predictive answer indexer, Proceedings of the workshop on ARABIC language processing: status and prospects, p.1-8, July 06, 2001, Toulouse, France
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Jennifer Chu-Carroll , John Prager , Krzysztof Czuba , David Ferrucci , Pablo Duboue, Semantic search via XML fragments: a high-precision approach to IR, Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, August 06-11, 2006, Seattle, Washington, USA
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