Argument Mining Project

This work is supported by National Natural Science Foundation of China（61602453）.

Joint extraction of argument components and relations

• Yang Du (ISCAS,UCAS), Minglan Li (ISCAS,UCAS), Mengxue Li (ISCAS,UCAS)

Abstract

Some recent end-to-end AM works produce promising results, but their performances on the latter two AM sub-tasks are not satisfactory. To tackle this problem, in this work, we propose a framework that solves these two sub-tasks at the same time. We approach the problem by selecting linguistic features between sentence pairs, and training supervised learning models to label the argument component types and the relations at the same time.

Reference

If you use this code or dataset as part of any published research, please refer the following paper.

Joint extraction of argument components and relations

@inproceedings{du2017joint,
  title={Joint extraction of argument components and relations},
  author={Du, Yang and Li, Minglan and Li, Mengxue},
  booktitle={2017 International Conference on Asian Language Processing (IALP)},
  pages={1--4},
  year={2017},
  organization={IEEE}
}

Joint rnn model for argument component boundary detection

@inproceedings{li2017joint,
  title={Joint rnn model for argument component boundary detection},
  author={Li, Minglan and Gao, Yang and Wen, Hui and Du, Yang and Liu, Haijing and Wang, Hao},
  booktitle={2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
  pages={57--62},
  year={2017},
  organization={IEEE}
}

To use the dataset, please cite.

@inproceedings{li2017crowdsourcing,
  title={Crowdsourcing argumentation structures in Chinese hotel reviews},
  author={Li, Mengxue and Geng, Shiqiang and Gao, Yang and Peng, Shuhua and Liu, Haijing and Wang, Hao},
  booktitle={2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
  pages={87--92},
  year={2017},
  organization={IEEE}
}

Details of AM

Details of the joint work is described in : https://ieeexplore.ieee.org/abstract/document/8300532/