勘误表:隐性培养非专家注释者的注释课程

IF 3.7 2区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Ji-Ung Lee, Jan-Christoph Klie, Iryna Gurevych
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引用次数: 0

摘要

摘要这项工作的作者(Ji Ung Lee、Jan Christoph Klie和Iryna Gurevych在计算语言学中的“隐含训练非专家注释者的注释课程”48:2https://doi.org/10.1162/coli_a_00436)在第5.3节(第360页)中发现了一个不正确的不等式符号。本文指出,控制实例注释时间的差异导致p值为0.200,小于0.05(p=0.200<0.05)。由于0.200当然大于0.05,因此正确的不等式符号为p=0.200>0.05,这与文中的结论一致。该文件已作了相应的更新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Erratum: Annotation Curricula to Implicitly Train Non-Expert Annotators
Abstract The authors of this work (“Annotation Curricula to Implicitly Train Non-Expert Annotators” by Ji-Ung Lee, Jan-Christoph Klie, and Iryna Gurevych in Computational Linguistics 48:2 https://doi.org/10.1162/coli_a_00436) discovered an incorrect inequality symbol in section 5.3 (page 360). The paper stated that the differences in the annotation times for the control instances result in a p-value of 0.200 which is smaller than 0.05 (p = 0.200 < 0.05). As 0.200 is of course larger than 0.05, the correct inequality symbol is p = 0.200 > 0.05, which is in line with the conclusion that follows in the text. The paper has been updated accordingly.
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来源期刊
Computational Linguistics
Computational Linguistics 工程技术-计算机:跨学科应用
CiteScore
15.80
自引率
0.00%
发文量
45
审稿时长
>12 weeks
期刊介绍: Computational Linguistics, the longest-running publication dedicated solely to the computational and mathematical aspects of language and the design of natural language processing systems, provides university and industry linguists, computational linguists, AI and machine learning researchers, cognitive scientists, speech specialists, and philosophers with the latest insights into the computational aspects of language research.
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