【论文笔记】BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis（2019）
这篇论文提出了将阅读理解技术用于网络评论数据，来避免现在电子商务机器人的回答不够灵活的缺点的一种思路。作者称这种问题为RRC(Review Reading Comprehension)，还做了一个小数据集（大概加起来只有2000多条示例数据）。作者这篇论文对我来说最大的价值在于他提出了一种BERT的后训练方法，让小数据量下训练BERT也得到了很好的效果。 1. 介绍 前面针对作者定义的RRC的一系
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相关文章
- 1. 论文笔记--Multi-Style Generative Reading Comprehension (Masque)
- 2. Gated Self-Matching Networks for Reading Comprehension and Question Answering论文笔记
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- 4. 【论文笔记】Improving Machine Reading Comprehension with General Reading Strategies（2019，NAACL）
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- 9. 【论文笔记】Simple and Effective Multi-Paragraph Reading Comprehension
- 10. Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension 论文阅读笔记