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Creators/Authors contains: "Hu Xu, Bing Liu"

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  1. (, Findings of the Association for Computational Linguistics: EMNLP 2020)
    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 (ABSA), demonstrating promising results. 
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    Accepted Manuscript Full Text Available