A Shared Task on Argumentation Mining in Newspaper Editorials

A Shared Task on Argumentation Mining in Newspaper Editorials
复制标题

报纸社论中论证挖掘的共享任务

DOI:
10.3115/v1/w15-0505
复制
发表时间:
2015
期刊:
Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval
影响因子:
--
通讯作者:
Benno Stein
Benno Stein
中科院分区:
--
文献类型:
--
作者:
Johannes Kiesel;Khalid Al Khatib;Matthias Hagen;Benno Stein

文献摘要

参考文献

被引文献

相似文献

本文提出了一个共同的任务,以确定的论点结构,在报纸社论。“论辩结构”是指文章中论辩单位的顺序沿着它们之间的关系。主要贡献是一个大规模的数据集,有200多个注释的社论,这将有助于论证挖掘研究人员以标准化的方式评估和比较他们的系统。本文详细介绍了我们如何建模和手动识别论证结构,以建立这种评估资源。总而言之,我们认为拟议的任务是朝着改善写作辅助系统和辩论技术迈出的建设性一步。
This paper proposes a shared task for the identification of the argumentative structure in newspaper editorials. By the term “argumentative structure” we refer to the sequence of argumentative units in the text along with the relations between them. The main contribution is a large-scale dataset with more than 200 annotated editorials, which shall help argumentation mining researchers to evaluate and compare their systems in a standardized manner. The paper details how we model and manually identify argumentative structures in order to build this evaluation resource. Altogether, we consider the proposed task as a constructive step towards improving writing assistance systems and debating technologies.
DOI: 10.1145/2348283.2348501
发表时间: 2012-08
期刊: --
影响因子: --
作者:
Tim Gollub;Benno Stein;Steven Burrows
通讯作者: Tim Gollub;Benno Stein;Steven Burrows