Cross-domain aspect term extraction using pre-trained language models with pre-training and fine-tuning strategy

As an important subtask of fine-grained sentiment analysis, aspect term extraction (ATE) aims to identify aspect terms within user-generated comments. ATE supervised learning approaches are heavily based on the availability of annotated data with token-level labels. However, obtaining these annotati...

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Autors principals:	Chunjun Zhao, Meiling Wu, Xuzhuang Sun, Lu Kang
Format:	Artigo
Idioma:	Inglês
Publicat:	KeAi Communications Co. Ltd. 2026-03-01
Col·lecció:	Data Science and Management
Matèries:	Cross-domain aspect term extraction Pre-trained language model Pre-training and fine-tuning Domain adaption
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2666764925000384
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