Nonautoregressive Encoder-Decoder Neural Framework for End-to-End Aspect-Based Sentiment Triplet Extraction

Aspect-based sentiment triplet extraction (ASTE) aims at recognizing the joint triplets from texts, i.e., aspect terms, opinion expressions, and correlated sentiment polarities. As a newly proposed task, ASTE depicts the complete sentiment picture from different perspectives to better facilitate rea...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2023-09, Vol.34 (9), p.5544-5556
Hauptverfasser:	Fei, Hao, Ren, Yafeng, Zhang, Yue, Ji, Donghong
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical models Bipartite matching loss Coders Decoding encoder–decoder framework Labeling natural language processing (NLP) nonautoregressive decoding pointer network Predictive models Sentiment analysis Task analysis Transformers
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