Collecting Chinese Know-How Question Answering Examples and Application of Neural Machine Comprehension Model
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- CHEN Tengyang
- University of Tsukuba
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- QIAN Zechang
- Tokyo University of Technology
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- LI Hongyu
- University of Tsukuba
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- UTSURO Takehito
- University of Tsukuba
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- KAWADA Yasuhide
- Logworks Co., Ltd.
Bibliographic Information
- Other Title
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- 中国語ノウハウ質問応答事例の収集およびニューラル読解モデルの適用
Abstract
<p>In the recent research, the state-of-the-art technique has achieved much gain in the field of question answering, and the result is comparable to the human-being’s. On the contrary, there are limited research focusing on the field of non-factoid question answering. This thesis studies how to develop a dataset for training Chinese tip question answering models. In this thesis, then the Chinese tip questions and answers dataset is used to train one of the state-of-the-art machine comprehension models. This thesis also compares the trained tip question answering model to a Chinese factoid question answering model which is trained with a Chinese factoid questions and answers dataset. Evaluation result shows that the model trained with the mixture of tip and factoid question and answers datasets achieve the best performance.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2020 (0), 4Q2GS905-4Q2GS905, 2020
The Japanese Society for Artificial Intelligence