| ○種別 (必須): | □ | 学術論文 (審査論文)
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| ○言語 (必須): | □ | 英語
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| ○招待 (推奨): |
| ○審査 (推奨): | □ | Peer Review
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| ○カテゴリ (推奨): | □ | 研究
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| ○共著種別 (推奨): | □ | 国内共著 (徳島大学内研究者と国内(学外)研究者との共同研究 (国外研究者を含まない))
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| ○学究種別 (推奨): |
| ○組織 (推奨): |
| ○著者 (必須): | 1. | 松本 和幸 ([徳島大学.大学院社会産業理工学研究部.理工学域.知能情報系.情報工学分野]/[徳島大学.理工学部.理工学科.知能情報コース.情報工学講座])
| ○役割 (任意): | □ | 第1著者(主著者)
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| 2. | (英) Sasayama Manabu (日) (読)
| ○役割 (任意): | □ | 共著
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| 3. | 吉田 稔 ([徳島大学.大学院社会産業理工学研究部.理工学域.知能情報系.情報工学分野]/[徳島大学.理工学部.理工学科.知能情報コース.情報工学講座])
| ○役割 (任意): | □ | 共著
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| 4. | 北 研二
| ○役割 (任意): | □ | 共著
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| 5. | 任 福継 (->個人[中川 福継])
| ○役割 (任意): | □ | 共著
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| ○題名 (必須): | □ | (英) Emotion Analysis and Dialogue Breakdown Detection in Dialogue of Chat Systems Based on Deep Neural Networks (日)
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| ○副題 (任意): |
| ○要約 (任意): | □ | (英) In dialogues between robots or computers and humans, dialogue breakdown analysis is an important tool for achieving better chat dialogues. Conventional dialogue breakdown detection methods focus on semantic variance. Although these methods can detect dialogue breakdowns based on semantic gaps, they cannot always detect emotional breakdowns in dialogues. In chat dialogue systems, emotions are sometimes included in the utterances of the system when responding to the speaker. In this study, we detect emotions from utterances, analyze emotional changes, and use them as the dialogue breakdown feature. The proposed method estimates emotions by utterance unit and generates features by calculating the similarity of the emotions of the utterance and the emotions that have appeared in prior utterances. We employ deep neural networks using sentence distributed representation vectors as the feature. In an evaluation of experimental results, the proposed method achieved a higher dialogue breakdown detection rate when compared to the method using a sentence distributed representation vectors. (日)
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| ○キーワード (推奨): | 1. | 自然言語処理 (natural language processing)
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| 2. | (英) dialogue breakdown (日) (読)
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| 3. | (英) human-computer dialogue system (日) (読)
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| 4. | (英) sentiment analysis (日) (読)
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| 5. | (英) emotion recognition (日) (読)
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| ○発行所 (推奨): |
| ○誌名 (必須): | □ | Electronics (MDPI AG)
(eISSN: 2079-9292)
| ○ISSN (任意): | □ | 2079-9292
ISSN: 2079-9292
(eISSN: 2079-9292) Title: ElectronicsTitle(ISO): Electronics (Basel)Publisher: Multidisciplinary Digital Publishing Institute (MDPI) (NLM Catalog)
(Scopus)
(CrossRef)
(Scopus information is found. [need login]) | [継承] |
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| ○巻 (必須): | □ | 11
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| ○号 (必須): | □ | 5
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| ○頁 (必須): | □ |
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| ○年月日 (必須): | □ | 西暦 2022年 2月 24日 (令和 4年 2月 24日)
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| ○URL (任意): | □ | https://doi.org/10.3390/electronics11050695
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| ○DOI (任意): | □ | 10.3390/electronics11050695 (→Scopusで検索)
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