IDCN: A Novel Interactive Dual Channel Network for Aspect Sentiment Triplet Extraction

IDCN: A Novel Interactive Dual Channel Network for Aspect Sentiment Triplet Extraction

Aspect sentiment triplet extraction (ASTE) is one of the important subtasks of aspect-based sentiment analysis, it aims at detecting the aspect terms, opinion terms, and the corresponding sentiment polarity, simultaneously. Most methods directly employ GCNs to capture the syntactic dependency inform...

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Bibliographic Details
Main Authors: Ning Liu, Jie Hu, Shunyu Yao, Dan Liu, Mingchuan Yang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Aspect sentiment triplet extraction
aspect-based sentiment analysis
natural language processing
deep learning
BERT
Online Access:https://ieeexplore.ieee.org/document/9940235/

Internet

https://ieeexplore.ieee.org/document/9940235/

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