Crowd vs. Expert: What Can Relevance Judgment Rationales Teach Us About Assessor Disagreement?

Mücahid Kutlu|Tyler McDonnell|Yassmine Barkallah|Tamer Elsayed|Matthew Lease


Anthology ID:DBLP:conf/sigir/KutluMBEL18
Volume:The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018
Year:2018
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:805-814
URL:https://doi.org/10.1145/3209978.3210033
DOI:https://doi.org/10.1145/3209978.3210033
DBLP:conf/sigir/KutluMBEL18
BibTeX:
@inproceedings{kutlu-2018-crowd, author = {M\"{u}cahid Kutlu and Tyler McDonnell and Yassmine Barkallah and Tamer Elsayed and Matthew Lease}, editor = {Kevyn Collins-Thompson and Qiaozhu Mei and Brian D. Davison and Yiqun Liu and Emine Yilmaz}, title = {{Crowd vs. Expert: What Can Relevance Judgment Rationales Teach Us About Assessor Disagreement?}}, booktitle = {{The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018}}, pages = {805--814}, publisher = {ACM}, year = {2018}, url = {https://doi.org/10.1145/3209978.3210033}, doi = {https://doi.org/10.1145/3209978.3210033} }