Research on Entity Relation Extraction Based on BiLSTM-CRF Classical Probability Word Problems-Reference-Cited by-同舟云学术

Research on Entity Relation Extraction Based on BiLSTM-CRF Classical Probability Word Problems

Published:2021-10-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 13th International Conference on Education Technology and Computers
language:
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Author:

Liu Qingtang¹,Jia Xiangcheng²,Yang Weiqin²,Tu Fengjiao²,Wu Linjing²

Affiliation:

1. The School of Educational Information Technology, Central China Normal University, China and Hubei Education Information Research Center, Central China Normal University, China

2. The School of Educational Information Technology, Central China Normal University, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3498765.3498775

Reference22 articles.

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3. Reflections on Problem Solving Theory and Practice

4. Fujita A , Kameda A , Kawazoe A , 2014 . Overview of Todai Robot Project and Evaluation Framework of its NLP-based Problem Solving . In Proceedings of the Ninth International Conference on Language Resources and Evaluation(LREC'14) . Reykjavik, Iceland , 2590 - 2597 . Fujita A, Kameda A, Kawazoe A, 2014. Overview of Todai Robot Project and Evaluation Framework of its NLP-based Problem Solving. In Proceedings of the Ninth International Conference on Language Resources and Evaluation(LREC'14). Reykjavik, Iceland, 2590-2597.

5. Linjing Wu Chuanyuan Lao Qingtang Liu 2019. Stratified Sampling Word Problem Understanding of Elementary Mathematics Based on Dependency Syntax. J. Computer applications and software. 36 5 126-132. Linjing Wu Chuanyuan Lao Qingtang Liu 2019. Stratified Sampling Word Problem Understanding of Elementary Mathematics Based on Dependency Syntax. J. Computer applications and software. 36 5 126-132.

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