What works and what does not: Classifier and feature analysis for argument mining-Reference-Cited by-同舟云学术

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What works and what does not: Classifier and feature analysis for argument mining

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th Workshop on Argument Mining
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Author:

Aker Ahmet,Sliwa Alfred,Ma Yuan,Lui Ruishen,Borad Niravkumar,Ziyaei Seyedeh,Ghobadi Mina

Publisher

Association for Computational Linguistics

Cited by 15 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. Automated Classification of Argumentative Components in Students’ Essays;Intelligent Tutoring Systems;2022

2. Scientia Potentia Est—On the Role of Knowledge in Computational Argumentation;Transactions of the Association for Computational Linguistics;2022

3. Detecting Arguments and Their Positions in Experimental Communication Data;SSRN Electronic Journal;2022

4. Extracting Arguments Based on User Decisions in App Reviews;IEEE Access;2021

5. Characterizing User Decision based on Argumentative Reviews;2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT);2020-12

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