1. 选择式机器阅读理解综述.
- Author
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贺吉飞, 徐行健, and 孟繁军
- Subjects
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NATURAL language processing , *READING comprehension , *ARTIFICIAL intelligence , *INTELLIGENCE levels , *DEEP learning , *MACHINERY - Abstract
Machine reading comprehension is one of the research hotspots in the field of natural language processing, it is of great significance to improve the reading ability and intelligence level of the machine. In order to follow up the research progress in related fields, this paper reviewed it. Firstly, this paper introduced the development process and main tasks of machine reading comprehension. Secondly, it focused on the current work of multi-choice machine reading comprehension based on deep learning methods, and described the related work from four aspects: semantic matching, pre-training model, semantic reasoning and external knowledge. Next, it summarized the related datasets and evaluat ion metrics . Finally, this paper looked forward to the future development trend of multi-choice machine reading comprehension. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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