隐喻作为自然语言处理最棘手的问题之一逐渐引起了学者们的关注,国外学者在隐喻模型设计和隐喻知识库建设方面进行了很多尝试,也取得了一定效果。相比较而言,中文隐喻计算研究却显得有些薄弱,因此本文在传统隐喻研究的基础上综述了隐喻计算模型和隐喻知识库建设方面的进展,重点介绍了基于优选限制思想的Met5系统,基于实例方法的MIDAS系统,以及以统计为手段,基于大规模语料库提取的隐喻分析模型CorMet系统。通过总结国外的相关研究成果,探索面向信息处理的汉语隐喻形式化的研究方向。
Abstract
As one of the intractable problems in the field of NLP, Metaphor has attracted more attention from researchers in recent years. Western scholars have done many researches on this field and made significant progress. However, research in Chinese metaphor is just at the starting point. In order to find a solution for Chinese metaphor formulization, this paper surveys the recent developments in the design of the computational model of metaphor and the construction of metaphor knowledge-base. Several computational models are introduced, including (1) Met5 system under the guidance of preference constraint view, ( 2 ) MIDAS system with example-based method, and ( 3 ) CorMet system with statistic approach.
关键词
计算机应用 /
中文信息处理 /
综述 /
隐喻计算模型 /
源域 /
目标域 /
隐喻概念
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Key words
computer application /
Chinese information processing /
overview /
computational model of metaphor /
source domain /
target domain /
metaphor concept
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参考文献
[1] 束定芳. 隐喻学研究[M]. 上海:上海外语教育出版社, 2000.
[2] 蓝纯,认知语言学与隐喻研究[M]. 外语教学与研究出版社, 2005.
[3] 赵艳芳. 认知语言学概论[M]. 上海外语教育出版社, 2002.
[4] 胡壮麟. 认知隐喻学[M]. 北京:北京大学出版社, 2004.
[5] 李福印. 应用认知语言学. 概念隐喻与意像图式在英语学习中的应用[M]. 中国文史出版社, 2004.
[6] Lakoff, G. , Johnson, Mark. Metaphors We Live By. Chicago [M]. University of Chicago Press, 1980.
[7] Fass, D. , Met* : A Method for Discriminating Metonymy and Metaphor by Computer [C]. Association for Computational Linguistics. 1991, 17. Number 1.
[8] Martin, J. H. , A Computational Model of Metaphor Interpretation [M]. NY: Academic Press. 1990.
[9] Gentner, D. , Structure-Mapping : A Theoretical Framework for Analogy [J]. Cognitive Science. 1983. 7: p.155 - 170.
[10] Gentner, D. , Falkenhainer, B. , and Skorstad, J. Viewing metaphor as analogy [C]. In: Helman, D. , editor, Analogical Reasoning. Kluwer Academic Publishers. 1988.
[11] Holyoak, K. J. , Thagard, P. Analogical Mapping by Constraint Satisfaction [J]. Cognitive Science. 1989, Vol. 13: 295 - 355.
[12] Veale, T. , Metaphor, Memory and Meaning: Symbolic and Connectionist Issues in Metaphor Interpretation [D]. 1995.
[13] Ortony, A. , Beyond Literal Similarity [J]. Psychological Review. 86, 1671 - 180, 1979.
[14] Weiner, E. J. , A Knowledge Representation Approach to Understanding Metaphors [J]. Computational Linguistics. 1984. 10 (1) : p. 1 - 14.
[15] Aarts, J. , M. & J. P. Calbert. Metaphor and Non-Metaphor: The Semantics of Adjective-Noun Combinations [C]. Tubingen: Niemeyer. 1979.
[16] Mason, Z. CorMet: , A Computational Corpus-Based Conventional Metaphor Extraction System [J]. Computational Linguistis, 2004, 30 (1) : 23 - 44.
[17] 俞士汶. 语料库与综合型语言知识库的建设[A]. 中文信息处理若干重要问题, 2002.
[18] 周昌乐. 隐喻、类比逻辑与可能世界[J]. 外国语言文学研究, 2004. 4 (6) : 10 - 12.
[19] 张威. 周昌乐. 汉语隐喻理解的逻辑描述初探[J]. 中文信息学报, 2004. 18 (5) : p. 23 - 28.
[20] 杨芸. 周昌乐. 基于机器理解的汉语隐喻分类研究初步[J]. 中文信息学报, 2004. 18 (4) : . 31 - 36.
[21] 戴帅湘. 汉语隐喻分类识别的计算方法研究[D]. 厦门大学硕士学位论文, 2005年6月.
[22] 袁毓林. 容器隐喻、套件隐喻及相关的语法现象——词语同现限制的认知解释和计算分析[J]. 中国语文, 2004, 3.
[23] Ahrens, Kathleen, Chu-Ren Huang, and Siaw-Fong Chung, Conceptual Metaphors: Ontology-based Representation and Corpora Driven Mapping Principles[A] , In: Proceedings of the ACL Workshop on Lexicon and Figurative Language[C] , p. 35 - 41, July 11, Sapporo, Japan, 2003.
[24] Wilks, Y. , A Preferential Pattern-Seeking Semantics for Natural Language Inference [J]. Artificial Intelligence. 1975. 6: 53 - 74.
[25] Gerrig, R. J. , Empirical constraints on computational theories of metaphor: Comments on indurkhya [J]. Cognitive Science. 1989, 13 (2) : 235 - 241.
[26] Falkenhainer, B. Forbus, K. D. and Gentner, D. , The Structure-mapping Engine: Algorithm and Examples [J] , Artificial Intelligence. 1986, 41: 1 - 63.
[27] Steinhart, E. C. , The Logic of Metaphor: Analogous Parts of Possible Worlds [M]. Dordrecht: Kluwer Academic Publishers. 2001.
[28] Martin, J. H. Conventional Metaphor and the Lexicon, in Lexical Semantic and Knowledge Representation [J] , J. Pustejovsky and S. Bergler (Eds) , Spring-Verlag. Lecture Notes in Artificial Intelligence. Berlin. 1992.
[29] Sun, R. , A Microfeature Based Approach Towards Metaphor Interpretation [C] , In: The International Joint Conference on Artificial Intelligence (IJCAI′95). 1995. Morgan Kaufmann: California. p. 424 - 430.
[30] Mason, Z. A Computational Corpus-Based Metaphor Extraction System [D]. Brandeis University, 2002.
[31] Resnik, P. , Selection and Information: A Class Based Approach to Lexical Relationships [D]. University Pennsylvania: Pennsylvania 1993.
[32] Kintsch, W. , Metaphor Comprehension: A computational theory [J]. Psychonomic Bulletin & Review, 2000, 7, 257 - 266.
[33] Martin, J. H. , MetaBank: A Knowledge-Base of Metaphoric Language Convention [J] , Computational Intelligence, 10 (2) : 134 - 139, 1994.
[34] Goatly, A. ,Metaphor at Lingnan University Department of English [EB]. http://www.ln.edu.hk/lle/cwd03/lnproject/introduction.html.
[35] Carina Eilts,Birte L?nneke, 2002 The Hamburg Metaphor Database [EB]. http://www.metaphorik.de/03/eiltsloenneker.pdf.
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脚注
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基金
国家863计划资助项目(2001AA114210;2002AA117010);国家973项目资助(2004CB318102)
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