Shared Task on Feedback Comment Generation for Language Learners
Shared Task on Feedback Comment Generation for Language Learners
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为语言学习者生成反馈评论的共享任务
DOI：
10.18653/v1/2021.inlg-1.35
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
O. Nahorna
中科院分区：
文献类型：
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作者：
Ryo Nagata;Masato Hagiwara;Kazuaki Hanawa;Masato Mita;Artem Chernodub;O. Nahorna
在本文中，我们提出了一个生成的挑战，称为反馈评论生成语言学习者。这是一个任务，给定一个文本和一个跨度，一个系统生成，为跨度，一个解释性的说明，帮助作者（语言学习者）提高他们的写作技巧。这一挑战的动机是：（1）从实践上讲，如果计算机辅助语言学习系统能够像人类教师一样提供反馈意见，这对语言学习者和教师都是有益的;（二）理论上，语言学习者的反馈评论生成具有其他生成任务的混合方面以及其独特的功能，探索什么样的生成技术将是有趣的。什么样的写作规则有效。为此，我们创建了一个数据集，并开发了基线系统来估计基线性能。有了这些准备，我们提出了一个生成的挑战，反馈意见生成。
In this paper, we propose a generation challenge called Feedback comment generation for language learners. It is a task where given a text and a span, a system generates, for the span, an explanatory note that helps the writer (language learner) improve their writing skills. The motivations for this challenge are: (i) practically, it will be beneficial for both language learners and teachers if a computer-assisted language learning system can provide feedback comments just as human teachers do; (ii) theoretically, feedback comment generation for language learners has a mixed aspect of other generation tasks together with its unique features and it will be interesting to explore what kind of generation technique is effective against what kind of writing rule. To this end, we have created a dataset and developed baseline systems to estimate baseline performance. With these preparations, we propose a generation challenge of feedback comment generation.