A New Model for Emotion-Driven Behavior Extraction from Text | |
Sun, Yawei2,3; He, Saike1; Han, Xu4; Zhang, Ruihua2,3 | |
刊名 | APPLIED SCIENCES-BASEL |
2023-08-01 | |
卷号 | 13期号:15页码:16 |
关键词 | emotion analysis emotion-driven behavior dataset prompt paradigm |
DOI | 10.3390/app13158700 |
通讯作者 | He, Saike(saike.he@ia.ac.cn) |
英文摘要 | Emotion analysis is currently a popular research direction in the field of natural language processing. However, existing research focuses primarily on tasks such as emotion classification, emotion extraction, and emotion cause analysis, while there are few investigations into the relationship between emotions and their impacts. To address these limitations, this paper introduces the emotion-driven behavior extraction (EDBE) task, which addresses these limitations by separately extracting emotions and behaviors to filter emotion-driven behaviors described in text. EDBE comprises three sub-tasks: emotion extraction, behavior extraction, and emotion-behavior pair filtering. To facilitate research in this domain, we have created a new dataset, which is accessible to the research community. To address the EDBE task, we propose a pipeline approach that incorporates the causal relationship between emotions and driven behaviors. Additionally, we adopt the prompt paradigm to improve the model's representation of cause-and-effect relationships. In comparison to state-of-the-art methods, our approach demonstrates notable improvements, achieving a 1.32% improvement at the clause level and a 1.55% improvement at the span level on our newly curated dataset in terms of the F1 score, which is a commonly used metric to measure the performance of models. These results underscore the effectiveness and superiority of our approach in relation to existing methods. |
资助项目 | National Natural Science Foundation of China[71974187] |
WOS关键词 | WORK |
WOS研究方向 | Chemistry ; Engineering ; Materials Science ; Physics |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:001046697000001 |
资助机构 | National Natural Science Foundation of China |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/54047] |
专题 | 舆论大数据科学与技术应用联合实验室 |
通讯作者 | He, Saike |
作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 2.Beijing Univ Posts & Telecommun, Sch Comp Sci, Natl Pilot Software Engn Sch, Beijing 100876, Peoples R China 3.Beijing Univ Posts & Telecommun, Key Lab Trustworthy Distributed Comp & Serv BUPT, Minist Educ, Beijing 100876, Peoples R China 4.Inst Sci & Tech Informat China, Beijing 100038, Peoples R China |
推荐引用方式 GB/T 7714 | Sun, Yawei,He, Saike,Han, Xu,et al. A New Model for Emotion-Driven Behavior Extraction from Text[J]. APPLIED SCIENCES-BASEL,2023,13(15):16. |
APA | Sun, Yawei,He, Saike,Han, Xu,&Zhang, Ruihua.(2023).A New Model for Emotion-Driven Behavior Extraction from Text.APPLIED SCIENCES-BASEL,13(15),16. |
MLA | Sun, Yawei,et al."A New Model for Emotion-Driven Behavior Extraction from Text".APPLIED SCIENCES-BASEL 13.15(2023):16. |
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