Measuring Annotator Agreement Generally across Complex Structured, Multi-object, and Free-text Annotation Tasks.

Alexander Braylan|Omar Alonso|Matthew Lease


Anthology ID:DBLP:conf/www/BraylanAL22
Volume:WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
Year:2022
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:1720-1730
URL:https://doi.org/10.1145/3485447.3512242
DOI:https://doi.org/10.1145/3485447.3512242
DBLP:conf/www/BraylanAL22
BibTeX:
@inproceedings{braylan-2022-measuring, author = {Alexander Braylan and Omar Alonso and Matthew Lease}, editor = {Fr\'{e}d\'{e}rique Laforest and Rapha\"{e}l Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel M\'{e}dini}, title = {{Measuring Annotator Agreement Generally across Complex Structured, Multi-object, and Free-text Annotation Tasks}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {1720--1730}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3512242}, doi = {https://doi.org/10.1145/3485447.3512242} }