[141] Akihiro Tamura, Hiroya Takamura, and Manabu Okumura. Classification ofmultiple-sentence questions. In Proceedings of the 2nd International JointConference on Natural Language Processing (IJCNLP-05), pp. 426–437,October 2005.[142] Ashwin Tengli, Yiming Yang, and Nian Li Ma. Learning table extractionfrom examples. In Proceedings of the 20th International Conference onComputational Linguistics (COLING), Geneva, Switzerland, 2004.[143] Akira Terada, Takenobu Tokunaga, and Hozumi Tanaka. Automatic expansionof abbreviations by using context and character information. InformationProcessing & Management, Vol. 40, No. 1, pp. 31–45, 2004.[144] Erik Tjong and Kim Sang. Text chunking by system combination. InProceedings of Conference on Computational Natural Language Learning,2000.[145] Takenobu Tokunaga. Information Retrieval and Natural Language Processing.University of Tokyo Press, 1999. in Japanese.[146] Noriko Tomuro and Steven L. Lytinen. New Directions in Question Answering,chapter Retrieval Models and Q and A Learning With FAQ Files,pp. 183–202. The MIT Press, 2004.[147] Yuta Tsuboi and Yuji Matsumoto. Authorship identification for heterogeneousdocuments. In IPSJ SIG Notes NL-148-3, pp. 17–24, 2002.[148] Hiroshi Tsuda, Takanori Ugai, and Misue Kazuo. An approach to automatedWeb metadata creation for Web directories. In Proceedings of the18th Symposium on Informatics, pp. 17–24, 2002.[149] Natsuko Tsujimura. The Handbook of Japanese Linguistics. Blackwell,1999.[150] Hiroaki Tsurumaru, Katsunori Takesita, Katsuki Itami, Toshihide Yanagawa,and Sho Yoshida. An approach to thesaurus construction fromJapanese language dictionary. In IPSJ SIG Notes NL-083, pp. 121–128,1991. in Japanese.100
[151] Kiyotaka Uchimoto, Qing Ma, Masaki Murata, Hiromi Ozaku, and HitoshiIsahara. Named entity extraction based on a maximum entropy model andtransformation rules. In Proceedings of the ACL 2000, 2000.[152] Kanji Uchino, Sachiko Motoi, Minako Hashimoto, Mineki Takechi, KunioMatsui, and Yasuyo Kikuta. Rule-based text categorization service - abusiness application of automatic text categorization -. The Journal ofInformation Science And Technology Association, Vol. 50, No. 10, p. 502,2000.[153] Vladimir N. Vapnik. The Nature of Statistical Learning Theory. Springer,New York, 1995.[154] Ellen M. Voorhees. Overview of TREC 2003 Question Answering Track. InProceedings of the twelfth Text REtreival Conference(TREC-12), 2003.[155] Ellen M. Voorhees and Donna K. Harman, editors. TREC:Experiment andEvaluation in Information Retrieval. The MIT Press, September 2005.[156] Marilyn Walker, Masayo Iida, and Sharon Cote. Japanese discourse andthe process of centering. Computational Linguistics, Vol. 20, No. 2, pp.193–233, 1994.[157] Joseph Weizenbaum. ELIZA : a computer program for the study of naturallanguage communication between man and machine. Communication ofACM, Vol. 9, No. 1, pp. 36–45, 1966.[158] Terry Winograd. Understanding Natural Language. Sangyo Tosyo, Tokyo,Japanese edition, 1976.[159] Yutaka Yagi, Taiichi Hashimoto, Hideya Mino, Takenobu Tokunaga, andHozumi Tanaka. On rule ordering in decision lists. In IPSJ SIG NotesNL-146-4, pp. 21–26, 2001. in Japanese.[160] Kazuhide Yamamoto, Shigeru Masuyama, and Shozo Naito. Text summarizationby deleting overlapped expressions using related texts. IEICETransactions on Information and Systems, Vol. J79-D-II, No. 11, pp. 1968–1972, 1996.101
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