@inproceedings{d80ce68c36524b28a17c29e324143884,
title = "Emotion Cause Extraction by Combining Intra-clause Sentiment-enhanced Attention and Inter-clause Consistency Interaction",
abstract = "Emotion cause extraction aims at identifying causes of the given emotion expression in a document. Many approaches have been proposed to solve this task, including rule-based approaches, traditional machine learning methods and deep neural networks. However, these approaches focus more on text content and suffer from the problem of the information deficiency issue. In this work, we exploit external sentiment knowledge, intra-clause syntactic dependency and inter-clause consistency to alleviate the problem. We design a sentiment-enhanced attention mechanism to fuse sentiment knowledge and syntactic dependency, and we obtain consistency information through the interaction between clauses on the same side of emotion expression. We finally achieve the best performance among 10 compared methods.",
keywords = "emotion cause, sentiment knowledge, syntactic dependency, text classification",
author = "Wenhui Yu and Chongyang Shi",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 6th IEEE International Conference on Computer and Communication Systems, ICCCS 2021 ; Conference date: 23-04-2021 Through 26-04-2021",
year = "2021",
month = apr,
day = "23",
doi = "10.1109/ICCCS52626.2021.9449281",
language = "English",
series = "2021 IEEE 6th International Conference on Computer and Communication Systems, ICCCS 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "146--150",
booktitle = "2021 IEEE 6th International Conference on Computer and Communication Systems, ICCCS 2021",
address = "United States",
}