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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書誌詳細

主要な著者:	Yanbo Li, Qing He, Damin Zhang
フォーマット:	Artigo
言語:	Inglês
出版事項:	Frontiers Media S.A. 2023-08-01
シリーズ:	Frontiers in Neurorobotics
主題:	aspect-based sentiment analysis aspect sentiment triplet extraction affective knowledge position-aware function graph convolutional network (GCN)
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/fnbot.2023.1193011/full
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