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2019 | OriginalPaper | Chapter

An Ensemble Model for Winning a Chinese Machine Reading Comprehension Competition

Authors : Jun He, Yongjing Cheng, Min Wang, Jingyu Xie, Wei Xie, Rui Su, Shandong Yuan, Yao Cui

Published in: Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series

Publisher: Springer International Publishing

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Abstract

To facilitate the application of machine reading comprehension, the 28^th Research Institute of China Electronics Technology Group Corporation organized a Chinese machine reading comprehension competition, namely the LES Cup Challenge, in October 2018. The competition introduces a big dataset of long articles and improperly labelled data, therefore challenges the state-of-the-art methods in this area. We proposed an ensemble model of four novel recurrent neural networks, which ranked on the top 2% over more than 250 teams (97 teams successfully submitted results) mainly from top universities and AI companies of China, and won the third prize (3000 USD) of the competition.

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Title: An Ensemble Model for Winning a Chinese Machine Reading Comprehension Competition
Authors: Jun He
Yongjing Cheng
Min Wang
Jingyu Xie
Wei Xie
Rui Su
Shandong Yuan
Yao Cui
Publisher: Springer International Publishing
Book: Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series
Print ISBN: 978-3-030-30489-8

Electronic ISBN: 978-3-030-30490-4

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-30490-4_1

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