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Hierarchical Network with Label Embedding for Contextual Emotion Recognition
https://tokushima-u.repo.nii.ac.jp/records/2009049
https://tokushima-u.repo.nii.ac.jp/records/2009049f2b56583-2e29-4a4d-b84d-d7e2723e6ea8
名前 / ファイル | ライセンス | アクション |
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Item type | 文献 / Documents(1) | |||||||||||||
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公開日 | 2021-07-12 | |||||||||||||
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アクセス権 | open access | |||||||||||||
資源タイプ | ||||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||
資源タイプ | journal article | |||||||||||||
出版社版DOI | ||||||||||||||
識別子タイプ | DOI | |||||||||||||
関連識別子 | https://doi.org/10.34133/2021/3067943 | |||||||||||||
言語 | ja | |||||||||||||
関連名称 | 10.34133/2021/3067943 | |||||||||||||
出版タイプ | ||||||||||||||
出版タイプ | VoR | |||||||||||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||
タイトル | ||||||||||||||
タイトル | Hierarchical Network with Label Embedding for Contextual Emotion Recognition | |||||||||||||
言語 | en | |||||||||||||
著者 |
Deng, Jiawen
× Deng, Jiawen
× 任, 福継
WEKO
401
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抄録 | ||||||||||||||
内容記述タイプ | Abstract | |||||||||||||
内容記述 | Emotion recognition has been used widely in various applications such as mental health monitoring and emotional management. Usually, emotion recognition is regarded as a text classification task. Emotion recognition is a more complex problem, and the relations of emotions expressed in a text are nonnegligible. In this paper, a hierarchical model with label embedding is proposed for contextual emotion recognition. Especially, a hierarchical model is utilized to learn the emotional representation of a given sentence based on its contextual information. To give emotion correlation-based recognition, a label embedding matrix is trained by joint learning, which contributes to the final prediction. Comparison experiments are conducted on Chinese emotional corpus RenCECps, and the experimental results indicate that our approach has a satisfying performance in textual emotion recognition task. | |||||||||||||
言語 | en | |||||||||||||
書誌情報 |
en : Research 巻 2021, 号 2, p. 3067943, 発行日 2021-01-06 |
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収録物識別子タイプ | ISSN | |||||||||||||
収録物識別子 | 26395274 | |||||||||||||
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収録物識別子タイプ | ISSN | |||||||||||||
収録物識別子 | 20965168 | |||||||||||||
出版者 | ||||||||||||||
出版者 | Science and Technology Review Publishing House | |||||||||||||
言語 | en | |||||||||||||
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出版者 | American Association for the Advancement of Science | |||||||||||||
言語 | en | |||||||||||||
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出版者 | China Association for Science and Technology | |||||||||||||
言語 | en | |||||||||||||
権利情報 | ||||||||||||||
言語 | en | |||||||||||||
権利情報 | Exclusive Licensee Science and Technology Review Publishing House. Distributed under a Creative Commons Attribution License (CC BY 4.0). | |||||||||||||
EID | ||||||||||||||
識別子 | 376711 | |||||||||||||
識別子タイプ | URI | |||||||||||||
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言語 | eng |