Dual graph convolutional networks integrating affective knowledge and position information for aspect sentiment triplet extraction

Dual graph convolutional networks integrating affective knowledge and position information for aspect sentiment triplet extraction

Aspect Sentiment Triplet Extraction (ASTE) is a challenging task in natural language processing (NLP) that aims to extract triplets from comments. Each triplet comprises an aspect term, an opinion term, and the sentiment polarity of the aspect term. The neural network model developed for this task c...

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Bibliographic Details
Main Authors: Yanbo Li, Qing He, Damin Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Neurorobotics
Subjects:
aspect-based sentiment analysis
aspect sentiment triplet extraction
affective knowledge
position-aware function
graph convolutional network (GCN)
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2023.1193011/full

Internet

https://www.frontiersin.org/articles/10.3389/fnbot.2023.1193011/full

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