ArgRewrite V.2: an annotated argumentative revisions corpus

ArgRewrite V.2: an annotated argumentative revisions corpus
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ArgRewrite V.2:带注释的论证修订语料库

DOI:
10.1007/s10579-021-09567-z
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发表时间:
2022
影响因子:
2.7
通讯作者:
Hwa, Rebecca
Hwa, Rebecca
中科院分区:
计算机科学4区
文献类型:
--
作者:
Kashefi, Omid;Afrin, Tazin;Dale, Meghan;Olshefski, Christopher;Godley, Amanda;Litman, Diane;Hwa, Rebecca

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分析人类如何修改他们的写作是一个有趣的研究问题,不仅从教育的角度来看,而且从人工智能的角度来看。更好地理解这一过程可以促进许多NLP应用,从智能辅导系统到支持性和协作性写作环境。然而,开发这些应用程序需要修订语料库,而这些语料库并不广泛可用。在这项工作中,我们提出了ArgRewrite V.2,这是一个带注释的议论文修订语料库,收集了关于自动驾驶汽车的议论文的两个修订周期。在不同的目的粒度(粗粒度和细粒度)和范围(句子和子句子)级别上提供注释。此外,语料库还包括给每个作者的修订目标,论文分数,注释验证,从参与者那里收集的研究前和研究后的调查作为元数据。ArgRewrite中的各种修订单元范围和目的粒度级别,以及包含的新类型元数据,可以使其成为涉及修订分析的研究和应用程序的有用资源。我们展示了ArgRewrite V.2在开发自动修订目的预测器方面的一些潜在应用,作为训练源和基准。
Analyzing how humans revise their writings is an interesting research question, not only from an educational perspective but also in terms of artificial intelligence. Better understanding of this process could facilitate many NLP applications, from intelligent tutoring systems to supportive and collaborative writing environments. Developing these applications, however, requires revision corpora, which are not widely available. In this work, we present ArgRewrite V.2, a corpus of annotated argumentative revisions, collected from two cycles of revisions to argumentative essays about self-driving cars. Annotations are provided at different levels of purpose granularity (coarse and fine) and scope (sentential and subsentential). In addition, the corpus includes the revision goal given to each writer, essay scores, annotation verification, pre- and post-study surveys collected from participants as meta-data. The variety of revision unit scope and purpose granularity levels in ArgRewrite, along with the inclusion of new types of meta-data, can make it a useful resource for research and applications that involve revision analysis. We demonstrate some potential applications of ArgRewrite V.2 in the development of automatic revision purpose predictors, as a training source and benchmark.
DOI: 10.18653/v1/2020.wnut-1.26
发表时间: 2020-11
期刊: --
影响因子: --
作者:
Omid Kashefi;R. Hwa
通讯作者: Omid Kashefi;R. Hwa
使用上下文来预测议论文修改的目的
DOI: --
发表时间: 2016
期刊: North American Chapter of the Association for Computational Linguistics
影响因子: --
作者:
Fan Zhang;D. Litman
通讯作者: D. Litman
DOI: 10.3115/v1/e14-1072
发表时间: 2014-04
期刊: --
影响因子: --
作者:
Huichao Xue;R. Hwa
通讯作者: Huichao Xue;R. Hwa
DOI: --
发表时间: 2021
期刊: CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
影响因子: --
作者:
Afrin, Tazin;Kashefi, Omid;Olshefski, Christopher;Litman, Diane;Hwa, Rebecca;Godley, Amanda
通讯作者: Godley, Amanda
DOI: --
发表时间: 2018
期刊: BEA@NAACL-HLT
影响因子: --
作者:
T. Afrin;D. Litman
通讯作者: D. Litman