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        <title>End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture</title>
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    <abstract>Argument Mining (AM) is a relatively recent discipline, which concentrates on extracting claims or premises from discourses, and inferring their structures. However, many existing works do not consider micro-level AM studies on discussion threads sufficiently. In this paper, we tackle AM for discussion threads. Our main contributions are follows: (1) A novel combination scheme focusing on micro-level inner- and inter- post schemes for a discussion thread. (2) Annotation of large-scale civic discussion threads with the scheme. (3) Parallel constrained pointer architecture (PCPA), a novel end-to-end technique to discriminate sentence types, inner-post relations, and inter-post interactions simultaneously. The experimental results demonstrate that our proposed model shows better accuracy in terms of relations extraction, in comparison to existing state-of-the-art models.</abstract>
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%0 Conference Proceedings
%T End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture
%A Morio, Gaku
%A Fujita, Katsuhide
%Y Slonim, Noam
%Y Aharonov, Ranit
%S Proceedings of the 5th Workshop on Argument Mining
%D 2018
%8 November
%I Association for Computational Linguistics
%C Brussels, Belgium
%F morio-fujita-2018-end
%X Argument Mining (AM) is a relatively recent discipline, which concentrates on extracting claims or premises from discourses, and inferring their structures. However, many existing works do not consider micro-level AM studies on discussion threads sufficiently. In this paper, we tackle AM for discussion threads. Our main contributions are follows: (1) A novel combination scheme focusing on micro-level inner- and inter- post schemes for a discussion thread. (2) Annotation of large-scale civic discussion threads with the scheme. (3) Parallel constrained pointer architecture (PCPA), a novel end-to-end technique to discriminate sentence types, inner-post relations, and inter-post interactions simultaneously. The experimental results demonstrate that our proposed model shows better accuracy in terms of relations extraction, in comparison to existing state-of-the-art models.
%R 10.18653/v1/W18-5202
%U https://aclanthology.org/W18-5202/
%U https://doi.org/10.18653/v1/W18-5202
%P 11-21

Markdown (Informal)

[End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture](https://aclanthology.org/W18-5202/) (Morio & Fujita, ArgMining 2018)

• End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture (Morio & Fujita, ArgMining 2018)

ACL

• Gaku Morio and Katsuhide Fujita. 2018. End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture. In Proceedings of the 5th Workshop on Argument Mining, pages 11–21, Brussels, Belgium. Association for Computational Linguistics.