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Author Alonso, Omar
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Label quality ♦ Crowdsourcing ♦ Human computation ♦ Machine learning
Abstract Organizations that develop and use technologies around information retrieval, machine learning, recommender systems, and natural language processing depend on labels for engineering and experimentation. These labels, usually gathered via human computation, are used in machine-learned models for prediction and evaluation purposes. In such scenarios, collecting high-quality labels is a very important part of the overall process. We elaborate on these challenges and discuss research directions.
ISSN 19361955
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-03-04
Publisher Place New York
e-ISSN 19361963
Journal Journal of Data and Information Quality (JDIQ)
Volume Number 6
Issue Number 1
Page Count 3
Starting Page 1
Ending Page 3


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Source: ACM Digital Library