XCrowd: Combining Explainability and Crowdsourcing to Diagnose Models in Relation Extraction.

Alisa Smirnova|Jie Yang|Philippe Cudré-Mauroux


Anthology ID:DBLP:conf/cikm/Smirnova0C24
Volume:Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
Year:2024
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:2097-2107
URL:https://doi.org/10.1145/3627673.3679777
DOI:https://doi.org/10.1145/3627673.3679777
DBLP:conf/cikm/Smirnova0C24
BibTeX:
@inproceedings{smirnova-2024-xcrowd, author = {Alisa Smirnova and Jie Yang and Philippe Cudr\'{e}-Mauroux}, editor = {Edoardo Serra and Francesca Spezzano}, title = {{XCrowd: Combining Explainability and Crowdsourcing to Diagnose Models in Relation Extraction}}, booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}}, pages = {2097--2107}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3627673.3679777}, doi = {https://doi.org/10.1145/3627673.3679777} }