Challenges in annotation: Annotator experiences from a crowdsourced emotion annotation task

Emily Öhman*

*この研究の対応する著者

研究成果: Conference article査読

8 被引用数 (Scopus)

抄録

With the prevalence of machine learning in natural language processing and other fields, an increasing number of crowd-sourced data sets are created and published. However, very little has been written about the annotation process from the point of view of the annotators. This pilot study aims to help fill the gap and provide insights into how to maximize the quality of the annotation output of crowd-sourced annotations with a focus on fine-grained sentence-level sentiment and emotion annotation from the annotators point of view.

本文言語English
ページ(範囲)293-301
ページ数9
ジャーナルCEUR Workshop Proceedings
2612
出版ステータスPublished - 2020
外部発表はい
イベント5th Conference on Digital Humanities in the Nordic Countries, DHN 2020 - Riga, Latvia
継続期間: 2020 10月 212020 10月 23

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)

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