Leveraging crowd skills and consensus for collaborative web-resource labeling-Reference-Cited by-同舟云学术

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Leveraging crowd skills and consensus for collaborative web-resource labeling

Published:2019-06 Issue: Volume:95 Page:790-801
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Castano Silvana,Ferrara Alfio,Montanelli Stefano

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference36 articles.

1. Efficient crowdsourcing for multi-class labeling;Karger,2013

2. Argument discovery via crowdsourcing;Nguyen;VLDB J.,2017

3. ZenCrowd: Leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking;Demartini,2012

4. Towards an integrated crowdsourcing definition;Arolas;J. Inf. Sci.,2012

5. Robust crowd labeling using little expertise;Khattak,2013

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Leveraging metacognitive ability to improve crowd accuracy via impossible questions.;Decision;2022-01

2. Advanced technologies and systems for collaboration and computer supported cooperative work;Future Generation Computer Systems;2019-06

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