Active learning and crowdsourcing: a survey of annotation optimization methods

High quality labeled corpora play a key role to elaborate machine learning systems. Generally, creating of such corpora requires human efforts. So, annotation process is expensive and time-consuming. Two approaches that optimize the annotation are active learning and crowdsourcing. Methods of active...

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Bibliographic Details

Published in:	Труды Института системного программирования РАН
Main Authors:	R. A. Gilyazev, D. Y. Turdakov
Format:	Article
Language:	English
Published:	Russian Academy of Sciences, Ivannikov Institute for System Programming 2018-10-01
Subjects:	активное обучение краудсорсинг аннотация корпусов крауд-вычисления
Online Access:	https://ispranproceedings.elpub.ru/jour/article/view/489