An Affective-Similarity-Based Method for Comprehending Attributional Metaphors

• Utsumi Akira

  Tokyo Institute of Technology, Department of Computational Intelligence and Systems Science

• Hori Koichi

  The University of Tokyo, Interdisciplinary Course on Advanced Science and Tbchnology

• Ohsuga Setsuo

  Waseda University, Department of Information and Computer Science

抄録

This paper proposes a new computational method for comprehending attributional metaphors. The proposed method generates deeper interpretations of metaphors than other methods through the process of figurative mapping that transfers affectively similar features of the source concept onto the target concept. Any features are placed on a common two-dimensional space revealed in the domain of psychology, and similarity of two features is calculated as a distance between them in the space. A computational model of metaphor comprehension based on the method has been implemented in a computer program called PROMIME (PROtotype system of Metaphor Interpreter with MEtaphorical mapping). Comparison between the PROMIME system's output and human interpretation shows that the performance of the proposed method is satisfactory.

収録刊行物

• 自然言語処理

  自然言語処理 5 (3), 3-31, 1998

  一般社団法人　言語処理学会

キーワード

• Metaphor Comprehension
• Computational Model
• Feature Mapping

詳細情報

• CRID: 1390282679452750336
• NII論文ID: 10008827673
• NII書誌ID: AN10472659
• DOI: 10.5715/jnlp.5.3_3
• ISSN: 21858314
• ISSN: 13407619
• Web Site: http://www.jstage.jst.go.jp/article/jnlp1994/5/3/5_3_3/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可