arXiv 2006.098732020-06-17cs.CLcs.LG

青年学生议论文写作的探索性研究：基于转换模式的研究

An Exploratory Study of Argumentative Writing by Young Students: A Transformer-based Approach

Educational Testing Service（教育考试服务中心）

Debanjan Ghosh, Beata Beigman Klebanov, Yi Song

备注：: 15th Workshop on Innovative Use of NLP for Building Educational Applications, ACL 2020

摘要：

我们提出了一个计算探索的论点批判写作的年轻学生。中学生被要求批评提示中提出的论点，重点是识别和解释推理缺陷。这个任务类似于一个既定的大学水平的论点批判任务。词汇和话语功能，利用详细的领域知识，以确定批评存在的大学任务，但没有表现良好的年轻学生的数据。相反，基于变压器的架构（例如，BERT）在大学任务的大量评论文章语料库上进行了微调，表现得更好（F1分数提高了20%以上）。分析的各种配置的系统的性能表明，虽然儿童的写作并没有表现出标准的话语结构的议论文，它没有共享基本的本地顺序结构与更成熟的作家。

英文摘要：

We present a computational exploration of argument critique writing by young students. Middle school students were asked to criticize an argument presented in the prompt, focusing on identifying and explaining the reasoning flaws. This task resembles an established college-level argument critique task. Lexical and discourse features that utilize detailed domain knowledge to identify critiques exist for the college task but do not perform well on the young students data. Instead, transformer-based architecture (e.g., BERT) fine-tuned on a large corpus of critique essays from the college task performs much better (over 20% improvement in F1 score). Analysis of the performance of various configurations of the system suggests that while children's writing does not exhibit the standard discourse structure of an argumentative essay, it does share basic local sequential structures with the more mature writers.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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