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5-5 Fundamental Language Resources HASHIMOTO Chikara, Jong-Hoon Oh, SANO Motoki, and KAWADA Takuya Fundamental language resources are classifi ed into natural language processing tools and natural language data, which are used as building blocks for natural language information processing systems such as question answering systems and information analysis systems. Various kinds of natural language information processing systems generally have necessary fundamental language resources in common. However, some fundamental language resources are difficult to construct for some organizations due to limited computational capability, limited manpower, budget constraint, or time constraint. Thus, it is important to construct and publish such fundamental language resources in order for the research community to make steady progress. We, Information Analysis Laboratory members, have constructed and published many fundamental language resources that are precise and have wide-coverage, some of which are difficult to construct for some organizations, with a large-scale high-performance computing environment, many researchers who are acquainted with natural language processing, and many richly-experienced linguistic data annotators. In this paper, we present fundamental language resources that we have constructed, including those that will be released in the near future. We do not present natural language processing tools that have described in 5-4 of this special issue. Language resources, Dictionaries, Corpora, Language processing tools, ALAGIN Forum 113

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5-4, 2012. ALAGIN 8-1, 2012. 16 pp. 84 87, 2009. Web 16 pp. 990 993, 2010. 16 pp. 928 931, 2010. Stijn De Saeger, Kentaro Torisawa, Jun'ichi Kazama, Kow Kuroda, and Masaki Murata, Large scale relation acquisition using class dependent patterns, In ICDM '09: Proceedings of the 2009 edition of the IEEE International Conference on Data Mining series, pp. 764 769, 2009. Jong-Hoon Oh, Kentaro Torisawa, Chikara Hashimoto, Takuya Kawada, Stijn De Saeger, Jun'ichi Kazama, and Yiou Wang, Why question answering using sentiment analysis and word classes, In EMNLP, 2012. Jun'ichi Kazama, Stijn De Saeger, Kow Kuroda, Masaki Murata, and Kentaro Torisawa, A bayesian method for robust estimation of distributional similarities, In Proceedings of The 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010), pp. 247 256, 2010. Jun'ichi Kazama and Kentaro Torisawa, Inducing gazetteers for named entity recognition by large-scale clustering of dependency relations, In ACL-08: HLT: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp. 407 415, 2008. 15 2009 Francis Bond, Hitoshi Isahara, Sanae Fujita, Kiyotaka Uchimoto, Takayuki Kuribayashi, and Kyoko Kanzaki, Enhancing the japanese wordnet, In The 7th Workshop on Asian Language Resources, 2009. Kow Kuroda, Francis Bond, and Kentaro Torisawa, Why wikipedia needs to make friends with wordnet, In Proceedings of The 5th International Conference of the Global WordNet Association (GWC-2010), 2010. Patrick Pantel and Deepak Ravichandran, Automatically labeling semantic classes, In HLT-NAACL '04: Proceedings of Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, pp. 321 328, 2004. Stijn De Saeger Vol. 52, 2011. Stijn De Saeger, Kentaro Torisawa, and Jun'ichi Kazama, Looking for trouble,in Proceedings of The 22nd International Conference on Computational Linguistics, pp. 185 192, 2008. Stijn De SaegerIstván Varga 18 pp. 903 906, 2012. Chikara Hashimoto, Kentaro Torisawa, Kow Kuroda, Masaki Murata, and Jun'ichi Kazama, Large-scale verb entailment acquisition from the web,in Proceedings of EMNLP, pp. 1172 1181, 2009. WWW Vol. 52, No. 1, pp. 293 307, 2011. Chikara Hashimoto, Kentaro Torisawa, Stijn De Saeger, Jun'ichi Kazama, and Sadao Kurohashi, Extracting paraphrases from definition sentences on the web,in Proceedings of ACL/HLT, pp. 1087 1097, 2011. 134 583/4 2012

Web 17 pp. 748 751, 2011. 18 pp. 93 96, 2012. Chikara Hashimoto, Kentaro Torisawa, Stijn De Saeger, Jong-Hoon Oh, and Jun'ichi Kazama, Excitatory or inhibitory: A new semantic orientation extracts contradiction and causality from the web, In Proceedings of EMNLPCoNLL 2012: Conference on Empirical Methods in Natural Language Processing and Natural Language Learning (to appear), 2012. Peter D. Turney, Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews,in Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL 2002), pp. 417 424, 2002. Hiroya Takamura, Takashi Inui, and Manabu Okumura, Extracting semantic orientation of words using spin model,in Proceedings of the 43rd Annual Meeting of the ACL, pp. 133 140, 2005. Julien Kloetzer, Stijn De Saeger, Kentaro Torisawa, Motoki Sano, Jun Goto, Chikara Hashimoto, and Jong Hoon Oh, Supervised recognition of entailment between patterns, 18 pp. 431 434, 2012. Web 14 pp. 524 527, 2008. 2009 http://www2.nict.go.jp/univ-com/isp/x163/project1/eval_spec_20090901.pdf Asuka Sumida and Kentaro Torisawa, Hacking Wikipedia for hyponymy relation acquisition,in IJCNLP '08: Proceedings of the Third International Joint Conference on Natural Language Processing, pp. 883 888, Jan. 2008. Jong-Hoon Oh, Kiyotaka Uchimoto, and Kentaro Torisawa, Bilingual co-training for monolingual hyponymyrelation acquisition,in ACL-09: IJCNLP: Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, pp. 432 440, 2009. Stijn De Saeger, Jun'ichi Kazama, Kentaro Torisawa, Masaki Murata, Ichiro Yamada, and Kow Kuroda, A web service for automatic word class acquisition,in Proceedings of the 3rd International Universal Communication Symposium, pp. 132 138. ACM, 2009. 135

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