Neural End-to-End Learning for Computational Argumentation Mining-Reference-Cited by-同舟云学术

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Neural End-to-End Learning for Computational Argumentation Mining

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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Author:

Eger Steffen,Daxenberger Johannes,Gurevych Iryna

Publisher

Association for Computational Linguistics

Cited by 43 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Green construction practices and economic performance: The mediating role of social performance and environmental performance;Integrated Environmental Assessment and Management;2024-01-31

2. A mutually enhanced multi-scale relation-aware graph convolutional network for argument pair extraction;Journal of Intelligent Information Systems;2023-11-30

3. Global information-aware argument mining based on a top-down multi-turn QA model;Information Processing & Management;2023-09

4. ARGAEL: ARGument Annotation and Evaluation tooL;SoftwareX;2023-07

5. Argument Mining with Graph Representation Learning;Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law;2023-06-19

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