Toward Simulating the Human Way of Comparing Concepts

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概要

• 論文の詳細を見る

• An ability to assess similarity lies close to the core of cognition. Its understanding support the comprehension of human success in tasks like problem solving, categorization, memory retrieval, inductive reasoning, etc, and this is the main reason that it is a common research topic. In this paper, we introduce the idea of semantic differences and commonalities between words to the similarity computation process. Five new semantic similarity metrics are obtained after applying this scheme to traditional WordNet-based measures. We also combine the node based similarity measures with a corpus-independent way of computing the information content. In an experimental evaluation of our approach on two standard word pairs datasets, four of the measures outperformed their classical version, while the other performed as well as their unmodified counterparts.

• （社）電子情報通信学会の論文
• 2011-07-01

著者

• Ichise Ryutaro

  National Institute of Informatics

• Menendez-mora Raul

  National Institute Of Informatics

• Ichise Ryutaro

  National Inst. Of Informatics

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