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DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis

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arxiv 2004.13816 v1 pith:I72ECR4E submitted 2020-04-28 cs.CL

DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis

classification cs.CL
keywords languagemodelsanalysisaspect-basedbertdomaindomain-orienteddombert
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This paper focuses on learning domain-oriented language models driven by end tasks, which aims to combine the worlds of both general-purpose language models (such as ELMo and BERT) and domain-specific language understanding. We propose DomBERT, an extension of BERT to learn from both in-domain corpus and relevant domain corpora. This helps in learning domain language models with low-resources. Experiments are conducted on an assortment of tasks in aspect-based sentiment analysis, demonstrating promising results.

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