| Item type |
文献 / Documents(1) |
| 公開日 |
2022-03-02 |
| アクセス権 |
|
|
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/10.3390/electronics11050695 |
|
|
言語 |
ja |
|
|
関連名称 |
10.3390/electronics11050695 |
| 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 |
Emotion Analysis and Dialogue Breakdown Detection in Dialogue of Chat Systems Based on Deep Neural Networks |
|
言語 |
en |
| 著者 |
松本, 和幸
ササヤマ, マナブ
吉田, 稔
北, 研二
任, 福継
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
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. |
|
言語 |
en |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
natural language processing |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
dialogue breakdown |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
human-computer dialogue system |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
sentiment analysis |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
emotion recognition |
| 書誌情報 |
en : Electronics
巻 11,
号 5,
p. 695,
発行日 2022-02-24
|
| 収録物ID |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
20799292 |
| 出版者 |
|
|
出版者 |
MDPI |
|
言語 |
en |
| 権利情報 |
|
|
言語 |
en |
|
権利情報 |
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
| EID |
|
|
識別子 |
384368 |
|
識別子タイプ |
URI |
| 言語 |
|
|
言語 |
eng |
electronics_11_5_695.pdf (2.95 MB)
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