Semantic Representation Based on AMR Graph for Document Level Question Generation

Author:

Cheng Shun1ORCID,Chen Jinyan1ORCID,Yu Yongxin1ORCID

Affiliation:

1. Tianjin University, China

Publisher

ACM

Reference29 articles.

1. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473(2014). Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473(2014).

2. Xuefeng Bai Yulong Chen Linfeng Song and Yue Zhang. 2021. Semantic representation for dialogue modeling. arXiv preprint arXiv:2105.10188(2021). Xuefeng Bai Yulong Chen Linfeng Song and Yue Zhang. 2021. Semantic representation for dialogue modeling. arXiv preprint arXiv:2105.10188(2021).

3. Laura Banarescu , Claire Bonial , Shu Cai , Madalina Georgescu , Kira Griffitt , Ulf Hermjakob , Kevin Knight , Philipp Koehn , Martha Palmer , and Nathan Schneider . 2013 . Abstract meaning representation for sembanking . In Proceedings of the 7th linguistic annotation workshop and interoperability with discourse. 178–186 . Laura Banarescu, Claire Bonial, Shu Cai, Madalina Georgescu, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Philipp Koehn, Martha Palmer, and Nathan Schneider. 2013. Abstract meaning representation for sembanking. In Proceedings of the 7th linguistic annotation workshop and interoperability with discourse. 178–186.

4. One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline

5. Yu Chen , Lingfei Wu , and Mohammed  J Zaki. 201 9. Reinforcement learning based graph-to-sequence model for natural question generation. arXiv preprint arXiv:1908.04942(2019). Yu Chen, Lingfei Wu, and Mohammed J Zaki. 2019. Reinforcement learning based graph-to-sequence model for natural question generation. arXiv preprint arXiv:1908.04942(2019).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3