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Tetsuya Nasukawa

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Biography

photo Tetsuya Nasukawa Tetsuya Nasukawa is a senior researcher in IBM Research, Tokyo Research Laboratory. He was involved in several machine translation projects after joining IBM Research in 1989. He started a text mining project to take advantage of natural language processing technology developed through machine translation projects, and he developed a text analysis and knowledge mining system named IBM TAKMI. In addition to his work within TRL, he has had several special assignments, such as implementing MT in the National Language Support section of IBM Japan, doing research as a research staff member at the Watson Research Center, and supporting real-world TM implementations with IBM Business Consulting Services.
He received a Ph.D. degree from Waseda University in 1998 for his work on natural language processing. His research interests include natural language understanding, text mining, sentiment analysis, and conversation mining.

Publication

Journal Papers

  • Nasukawa, T. and Nagano, T.: "Text analysis and knowledge mining system," IBM Systems Journal, Vol.40, No.4, 2001
  • Nasukawa, T., Kawano, H. and Arimura, H. "Base technology for text mining", Journal of Japanese Society for Artificial Intelligence, Vol.16, No.2, pp.201-211, 2001. (in Japanese)
  • Nasukawa, T. "Text mining application for call centers", Journal of Japanese Society for Artificial Intelligence, Vol.16, No.2, pp.219-225, 2001. (in Japanese)
  • Nasukawa, T., Morohashi, M. and Nagano, T. "Text mining - discovering knowledge in vast amounts of textual data -", IPSJ Magazine, Vol.40, No.4 (comprehensive paper), pp.358-364, 1999 (in Japanese)

Conference Papers

  • Kanayama, H. and Nasukawa, T., "Textual demand analysis: detection of users' wants and needs from opinions," International Conference on Computational Linguistics (COLING), 2008
  • Takeuchi, H., Subramaniam, L. V., Nasukawa, T. and Roy, S., "Automatic Identification of Important Segments and Expressions for Mining of Business-Oriented Conversations at Contact Centers," Conference on Empirical Methods in Natural Language Processing (EMNLP 2007), 2007
  • Kanayama, H. and Nasukawa, T., "Fully Automatic Lexicon Expansion for Domain-oriented Sentiment Analysis," Conference on Empirical Methods in Natural Language Processing (EMNLP 2006), 2006
  • Murakami, A. and Nasukawa, T., "Term aggregation: mining synonymous expressions using personal stylistic variations," International Conference on Computational Linguistics (COLING), 2004
  • Kanayama, H., Nasukawa, T. and Watanabe, H., "Deeper sentiment analysis using machine translation technology," International Conference on Computational Linguistics (COLING), 2004
  • Yi, J., Nasukawa, T., Bunescu, R. and Niblack, W., "Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques," International Conference on Data Mining, 2003
  • Nasukawa, T. and Yi, J., "Sentiment Analysis: Capturing Favorability Using Natural Language Processing," Second International Conference on Knowledge Capture, 2003
  • Nasukawa, T., "Full-text processing: improving a practical NLP system based on surface information within the context," 15th International Conference on Computational Linguistics, 1996
  • Nasukawa, T., "Robust Parsing Based on Discourse Information -Completing Partial Parses of Ill-Formed Sentences on the Basis of Discourse Information-", 33rd Annual Meeting of ACL, 1995
  • Nasukawa, T., Uramoto,N., "Discourse as a Knowledge Resource for Sentence Disambiguation," 14th International Joint Conference on Artificial Intelligence, 1995
  • Nasukawa, T., "Shallow and Robust Context Processing for a Practical MT System," IJCAI Workshop on Context in Natural Language Processing, 1995
  • Nasukawa, T., "Robust Method of Pronoun Resolution Using Full-text Information," 15th International Conference on Computational Linguistics, 1994
  • Nasukawa, T., "Discourse Constraint in Computer Manuals," 5th International Conference on Theoretical and Methodological Issues in Machine Translation, 1993
  • Nasukawa, T., "Understanding Natural Language by Using Word-by-word Interpretation and a Visual Representation Scheme," International Symposium on Natural Language Understanding and AI, 1992

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Selected Papers at Domestic Conferences

  • Takeuchi, H., Nasukawa, T., and Watanabe, H. "Modeling of the Business-Oriented Conversation at Call Center and its Application to Conversation Mining", Japanese Society for Artificial Intelligence (JSAI) SIG-SLUD-A703-4, 2008. (received the JSAI Incentive Award)
  • Nasukawa, T., Takuma, D., Takeuchi, H., and Ogino, S. "Mining Conversations at Call Centers", The 13th Annual Meeting of The Association for Natural Language Processing (ANLP) (in Japanese), pp.660-663, 2007. (received the Best Paper Award of the 13-th Annual Meeting of the ANLP)
  • Kanayama, H. and Nasukawa, T. "Extracting and grouping of request expressions", The 11th Annual Meeting of The Association for Natural Language Processing (ANLP) (in Japanese), pp.660-663, 2005. (received the Best Paper Award of the 11-th Annual Meeting of the ANLP)
  • Nasukawa, T. and Kanayama, H. "Acquisition of sentiment lexicon by using context coherence", Information Processing Society of Japan (IPSJ) SIG-NL-162 (in Japanese), pp.109-116, 2004. (received Yamashita SIG Research Award from IPSJ)
  • Nasukawa, T. and Nagano, T. "TAKMI: Text Analysis and Knowledge Mining", IPSJ 59th Annual Convention, pp.2-383-384 (in Japanese), 1999. (received the Best Paper Award of IPSJ National Convention)
  • Nasukawa, T. "Disambiguation of Sentence Analysis by Using Discourse Constraint", 7th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), 1993. (received JSAI Annual Conference Award)

Book

Invited Talks and Tutorials

  • "Text Analysis and Knowledge Mining (TAKMI) at Contact Centers -- From written summary to spoken conversation--," Tokyo Forum on advanced NLP and Text Mining (T-FaNT 07), University of Tokyo, Tokyo, Japan, April 2007.
  • "TAKMI (Text Analysis and Knowledge Mining) and Sentiment Analysis," Agenda Setting Workshops: Bridging quantitative and qualitative methods for social sciences using text mining techniques, Manchester Conference Centre, University of Manchester, United Kingdom, April 2006.
  • "Text Mining: Opportunity for Machine Translation Technology," The 10th Machine Translation Summit (MT Summit X), Phuket, Thailand, September 2005.

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