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correction. In Proceedings of the 21st International
Conference on Computational Linguistics and 44th Annual
Meeting of the Association for Computational Linguistics
(COLING-ACL-06), pages 1025{1032, Sydney, Australia,
2006.
[8] X. Li and D. Roth. Learning question classiers. In
Proceedings of the 19th International Conference on
Computational Linguistics (COLING-02), pages 556{562,
Taipei, Taiwan, 2002.
[9] D. Lin. Automatic retrieval and clustering of similar words.
In Proceedings of the 17th International Conference on
Computational Linguistics and the 36th Annual Meeting of
the Association for Computational Linguistics
(COLING-ACL-98), pages 768{774, Montreal, Quebec,
1998.
[10] L. Lita and J. Carbonell. Instance-based question
answering: A data driven approach. In Proceedings of the
Conference on Empirical Methods in Natural Language
Processing (EMNLP-04), pages 396{403, Barcelona, Spain,
2004.
[11] R. Mooney and R. Bunescu. Mining knowledge from text
using information extraction. SIGKDD Explorations,
7(1):3{10, 2005.
[12] M. Pasca, D. Lin, J. Bigham, A. Lifchits, and A. Jain.
Organizing and searching the World Wide Web of facts -
step one: the one-million fact extraction challenge. In
Proceedings of the 21st National Conference on Articial
Intelligence (AAAI-06), pages 1400{1405, Boston,
Massachusetts, 2006.
[13] M. Pasca and B. Van Durme. What you seek is what you
get: Extraction of class attributes from query logs. In
Proceedings of the 20th International Joint Conference on
Articial Intelligence (IJCAI-07), pages 2832{2837,
Hyderabad, India, 2007.
[14] P. Pantel and M. Pennacchiotti. Espresso: Leveraging
generic patterns for automatically harvesting semantic
relations. In Proceedings of the 21st International
Conference on Computational Linguistics and 44th Annual
Meeting of the Association for Computational Linguistics
(COLING-ACL-06), pages 113{120, Sydney, Australia,
2006.
[15] P. Pantel and D. Ravichandran. Automatically labeling
semantic classes. In Proceedings of the 2004 Human
Language Technology Conference (HLT-NAACL-04), pages
321{328, Boston, Massachusetts, 2004.
[16] M. Remy. Wikipedia: The free encyclopedia. Online
Information Review, 26(6):434, 2002.
[17] L. Schubert. Turing's dream and the knowledge challenge.
In Proceedings of the 21st National Conference on Articial
Intelligence (AAAI-06), Boston, Massachusetts, 2006.
[18] Y. Shinyama and S. Sekine. Preemptive information
extraction using unrestricted relation discovery. In
Proceedings of the 2006 Human Language Technology
Conference (HLT-NAACL-06), pages 204{311, New York,
New York, 2006.
[19] M. Strube and S. Ponzetto. Wikirelate! computing
semantic relatedness using Wikipedia. In Proceedings of the
21st National Conference on Articial Intelligence
(AAAI-06), pages 1419{1424, Boston, Massachusetts, 2006.
[20] K. Tokunaga, J. Kazama, and K. Torisawa. Automatic
discovery of attribute words from Web documents. In
Proceedings of the 2nd International Joint Conference on
Natural Language Processing (IJCNLP-05), pages 106{118,
Jeju Island, Korea, 2005.
[21] E. Voorhees. Evaluating answers to denition questions. In
Proceedings of the 2003 Human Language Technology
Conference (HLT-NAACL-03), pages 109{111, Edmonton,
Canada, 2003.
[22] Z. Zhuang and S. Cucerzan. Re-ranking search results using
query logs. In Proceedings of the 15th International
Conference on Information and Knowledge Management
(CIKM-06), Arlington, Virginia, 2006.
WWW 2007 / Track: Data Mining Session: Mining Textual Data
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