arXiv Open Access 2020

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

Hu Xu Bing Liu Lei Shu Philip S. Yu

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Abstrak

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.

Topik & Kata Kunci

cs.CL

Penulis (4)

Hu Xu

Bing Liu

Lei Shu

Philip S. Yu

Format Sitasi

APA MLA BibTeX

Xu, H., Liu, B., Shu, L., Yu, P.S. (2020). DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. https://arxiv.org/abs/2004.13816

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓