Characteristics of High Agreement Affect Annotation in Text

Characteristics of High Agreement Affect Annotation in Text
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高一致性特征影响文本标注

DOI:
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发表时间:
2010
期刊:
Law
影响因子:
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通讯作者:
Cecilia Ovesdotter Alm
Cecilia Ovesdotter Alm
中科院分区:
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文献类型:
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作者:
Cecilia Ovesdotter Alm

文献摘要

被引文献

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本文的目的是提出一个不寻常的英语数据集的文本中的情感探索。它描述了一个语料库的童话故事,从三个来源,已注释的影响,在句子水平。特别注意的是标注高注释者协议的数据。对H. C.安徒生揭示了几个有趣的趋势,并通过例子加以说明。
The purpose of this paper is to present an unusual English dataset for affect exploration in text. It describes a corpus of fairy tales from three sources that have been annotated for affect at the sentence level. Special attention is given to data marked by high annotator agreement. A qualitative analysis of characteristics of high agreement sentences from H. C. Andersen reveals several interesting trends, illustrated by examples.