Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations.

Yuan Li|Benjamin I. P. Rubinstein|Trevor Cohn


Anthology ID:DBLP:conf/www/LiRC19
Volume:The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019
Year:2019
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:1028-1038
URL:https://doi.org/10.1145/3308558.3313459
DOI:https://doi.org/10.1145/3308558.3313459
DBLP:conf/www/LiRC19
BibTeX:
@inproceedings{li-2019-truth, author = {Yuan Li and Benjamin I. P. Rubinstein and Trevor Cohn}, editor = {Ling Liu and Ryen W. White and Amin Mantrach and Fabrizio Silvestri and Julian J. McAuley and Ricardo Baeza-Yates and Leila Zia}, title = {{Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations}}, booktitle = {{The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}}, pages = {1028--1038}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3308558.3313459}, doi = {https://doi.org/10.1145/3308558.3313459} }