TY - GEN
T1 - Emotion Cause Extraction by Combining Intra-clause Sentiment-enhanced Attention and Inter-clause Consistency Interaction
AU - Yu, Wenhui
AU - Shi, Chongyang
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/4/23
Y1 - 2021/4/23
N2 - 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.
AB - 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.
KW - emotion cause
KW - sentiment knowledge
KW - syntactic dependency
KW - text classification
UR - http://www.scopus.com/inward/record.url?scp=85113319424&partnerID=8YFLogxK
U2 - 10.1109/ICCCS52626.2021.9449281
DO - 10.1109/ICCCS52626.2021.9449281
M3 - Conference contribution
AN - SCOPUS:85113319424
T3 - 2021 IEEE 6th International Conference on Computer and Communication Systems, ICCCS 2021
SP - 146
EP - 150
BT - 2021 IEEE 6th International Conference on Computer and Communication Systems, ICCCS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Computer and Communication Systems, ICCCS 2021
Y2 - 23 April 2021 through 26 April 2021
ER -