自然言語理解
(Natural language understanding から転送)
出典: フリー百科事典『ウィキペディア（Wikipedia）』 (2023/09/01 16:01 UTC 版)
自然言語理解（しぜんげんごりかい、英: Natural language understanding, NLU）は人工知能の自然言語処理の一分野であり、コンピュータに自然言語を理解（読解）または意図を抽出させるという試みである。
- ^ American Association for Artificial Intelligence Brief History of AI [1]
- ^ Daniel G. Bobrow's PhD Thesis Natural Language Input for a Computer Problem Solving System.
- ^ Machines who think by Pamela McCorduck 2004 ISBN 1-56881-205-1 page 286
- ^ Russell, Stuart J.; Norvig, Peter (2003), Artificial Intelligence: A Modern Approach Prentice Hall, ISBN 0-13-790395-2, http://aima.cs.berkeley.edu/ , p. 19
- ^ Computer Science Logo Style: Beyond programming by Brian Harvey 1997 ISBN 0-262-58150-7 page 278
- ^ Weizenbaum, Joseph (1976). Computer power and human reason: from judgment to calculation W. H. Freeman and Company. ISBN 0-7167-0463-3 pages 188-189
- ^ Roger Schank, 1969, A conceptual dependency parser for natural language Proceedings of the 1969 conference on Computational linguistics, Sång-Säby, Sweden, pages 1-3
- ^ Woods, William A (1970). "Transition Network Grammars for Natural Language Analysis". Communications of the ACM 13 (10): 591–606
- ^ Artificial intelligence: critical concepts, Volume 1 by Ronald Chrisley, Sander Begeer 2000 ISBN 0-415-19332-X page 89
- ^ Terry Winograd's SHRDLU page at Stanford SHRDLU
- ^ Winograd, Terry (1983), Language as a Cognitive Process, Addison–Wesley, Reading, MA.
- ^ Larry R. Harris, Research at the Artificial Intelligence corp. ACM SIGART Bulletin, issue 79, January 1982 [2]
- ^ Inside case-based reasoning by Christopher K. Riesbeck, Roger C. Schank 1989 ISBN 0-89859-767-6 page xiii
- ^ In Depth Understanding: A Model of Integrated Process for Narrative Comprehension.. Michael g. Dyer. MIT Press. ISBN 0-262-04073-5
- ^ Samant, Rahul Manohar; Bachute, Mrinal R.; Gite, Shilpa; Kotecha, Ketan (2022). “Framework for Deep Learning-Based Language Models Using Multi-Task Learning in Natural Language Understanding: A Systematic Literature Review and Future Directions”. IEEE Access 10: 17078–17097. doi:10.1109/ACCESS.2022.3149798. ISSN 2169-3536.
- ^ An approach to hierarchical email categorization by Peinfeng Li et al. in Natural language processing and information systems edited by Zoubida Kedad, Nadira Lammari 2007 ISBN 3-540-73350-7
- ^ Infoworld, Nov 13, 1989, page 144
- ^ Infoworld, April 19, 1984, page 71
- ^ Building Working Models of Full Natural-Language Understanding in Limited Pragmatic Domains by James Mason 2010 [3]
- ^ Mining the Web: discovering knowledge from hypertext data by Soumen Chakrabarti 2002 ISBN 1-55860-754-4 page 289
- ^ G. A. Miller, R. Beckwith, C. D. Fellbaum, D. Gross, K. Miller. 1990. WordNet: An online lexical database. Int. J. Lexicograph. 3, 4, pp. 235-244.
- ^ Using computers in linguistics: a practical guide by John Lawler, Helen Aristar Dry 198 ISBN 0-415-16792-2 page 209
- ^ Naive semantics for natural language understanding by Kathleen Dahlgren 1988 ISBN 0-89838-287-4
- ^ Stochastically-based semantic analysis by Wolfgang Minker, Alex Waibel, Joseph Mariani 1999 ISBN 0-7923-8571-3
- ^ Pragmatics and natural language understanding by Georgia M. Green 1996 ISBN 0-8058-2166-X
- ^ Natural Language Processing Prolog Programmers by M. Covington, 1994 ISBN 0-13-629478-2
- ^ Natural language processing in Prolog by Gerald Gazdar, Christopher S. Mellish 1989 ISBN 0-201-18053-7
- ^ Understanding language understanding by Ashwin Ram, Kenneth Moorman 1999 ISBN 0-262-18192-4 page 111
- ^ Formal aspects of context by Pierre Bonzon et al 2000 ISBN 0-7923-6350-7
- ^ Agent-AIが自然言語とかかわりを持 つ場面には，大きく分けて，書かれた ものの読み取りとユーザとのインタラ クションがあります． http://www.ntt.co.jp/journal/1602/files/jn201602014.pdf
- ^ https://github.com/tensorflow/models/tree/master/syntaxnet
- ^ https://www.ilu.co.jp/about.html
- ^ http://japan.nuance.com/company/about/office-locations/index.htm
[続きの解説]
「自然言語理解」の続きの解説一覧
- 1 自然言語理解とは
- 2 自然言語理解の概要
- 3 コンポーネントとアーキテクチャ
- 4 利用
「Natural language understanding」の例文・使い方・用例・文例
- Natural language understandingのページへのリンク
