書誌事項
- タイトル別名
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- Construction of Associative Concept Dictionary with Distance Information, and Comparison with Electronic Concept Dictionary
- ガイネン カン キョリ ノ テイシキカ ト キソン デンシカ ジショ ト ノ ヒカク
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抄録
Background knowledge concerning to the input text is necessary when a computer tries to understand the text as well as syntactic and semantic information about it. This paper presents a method to construct an associative concept dictionary using large-scale association experiments. The dictionary includes semantic and contextual information about the stimulus words. In the association experiments, 100 stimulus words from the textbook of Japanese language used in elementary schools are given to subjects. They are requested to make association from the stimulus words about 7 tasks for each word. The tasks, for example, are higher level concepts, lower level concepts, actions, situations and so on. Conventional concept dictionaries have tree structures to express its hierarchical ones. Distances between concepts are calculated using number of links between the concepts. This paper shows a way to formulate the distance between concepts by using a linear programming method. Its parameters, especially frequency of the associated word and associated order of the word, are found significant for the distance calculation. By comparing the associative concept dictionary with EDR concept dictionary and WordNet using the distance information, it is found that the dictionary is more similar to WordNet than EDR.
収録刊行物
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- 自然言語処理
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自然言語処理 8 (4), 37-54, 2001
一般社団法人 言語処理学会
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詳細情報 詳細情報について
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- CRID
- 1390001204475907072
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- NII論文ID
- 10021991600
- 10011608852
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- NII書誌ID
- AN10472659
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- ISSN
- 21858314
- 13407619
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- NDL書誌ID
- 5941308
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可