Data Quality from Crowdsourcing: A Study of Annotation Selection Criteria

Pei-Yun Hsueh, Prem Melville, Vikas Sindhwani


Anthology ID:
W09-1904
Volume:
Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing
Month:
June
Year:
2009
Address:
Boulder, Colorado
Editors:
Eric Ringger, Robbie Haertel, Katrin Tomanek
Venue:
ALNLP
SIGs:
SIGNLL | SIGANN
Publisher:
Association for Computational Linguistics
Note:
Pages:
27–35
Language:
URL:
https://aclanthology.org/W09-1904
DOI:
Bibkey:
Cite (ACL):
Pei-Yun Hsueh, Prem Melville, and Vikas Sindhwani. 2009. Data Quality from Crowdsourcing: A Study of Annotation Selection Criteria. In Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing, pages 27–35, Boulder, Colorado. Association for Computational Linguistics.
Cite (Informal):
Data Quality from Crowdsourcing: A Study of Annotation Selection Criteria (Hsueh et al., ALNLP 2009)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-1/W09-1904.pdf