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A Methodology for the Comparison of Human Judgments With Metrics for Coreference Resolution
In: HumEval at ACL ; https://hal.archives-ouvertes.fr/hal-03650294 ; HumEval at ACL, May 2022, Dublin, Ireland ; https://humeval.github.io/ (2022)
Abstract: International audience ; We propose a method for investigating the interpretability of metrics used for the coreference resolution task through comparisons with human judgments. We provide a corpus with annotations of different error types and human evaluations of their gravity. Our preliminary analysis shows that metrics considerably overlook several error types and overlook errors in general in comparison to humans. This study is conducted on French texts, but the methodology should be language-independent.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [SCCO.LING]Cognitive science/Linguistics; [SHS.LANGUE]Humanities and Social Sciences/Linguistics
URL: https://hal.archives-ouvertes.fr/hal-03650294/file/A_Methodology_for_the_Comparison_of_Human_Judgments_With_Metrics_for_Coreference_Resolution.pdf
https://hal.archives-ouvertes.fr/hal-03650294/document
https://hal.archives-ouvertes.fr/hal-03650294
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