ストーリーにおける文脈構造間の類比的マッピングに 基づく事象間の類似：計算モデルの提案
書誌事項
- タイトル別名
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- Event similarity based on the analogical mapping between contextual structures in stories: A computational model
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説明
<p>In a story, the meaning of an event depends on its context or its relationship with other events. To elucidate the cognitive mechanism associated with the construction of such contextual meaning is a fundamental issue from the perspective of cognitive science and artificial intelligence. Hence, this study proposes a computational model that determines the similarity between two events occurring in different stories based on the analogical mapping between the events' contextual structures. The proposed model automatically constructs the contextual structure of a chosen event by associating relevant verbs gathered from precedent and subsequent events. Similarity between the selected events occurring in two stories is thereby estimated on the basis of the mapping between their contextual structures. To assess the proposed model, it was compared with human ratings of event similarity by incorporating twelve pairs of experimental stories. The obtained result indicates that a moderate or a strong positive correlation can be observed between the proposed model and the human ratings.</p>
収録刊行物
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- 認知科学
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認知科学 28 (1), 153-160, 2020
日本認知科学会
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詳細情報 詳細情報について
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- CRID
- 1390287363460265088
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- NII論文ID
- 130007998528
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- ISSN
- 18815995
- 13417924
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- 本文言語コード
- ja
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- 資料種別
- journal article
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- データソース種別
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- JaLC
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可