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SemEval 2021 Task 12: Learning with Disagreement ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Chamberlain, Jon
;
Dumitrache, Anca
;
Fornaciari, Tommaso
;
Miller, Tristan
;
Plank, Barbara
;
Poesio, Massimo
;
Simpson, Edwin
;
Uma, Alexandra
. - : Underline Science Inc., 2021
Abstract:
Disagreement between coders is ubiquitous in virtually all datasets annotated with human judgements in both natural language processing and computer vision. However, most supervised machine learning methods assumethat a single preferred interpretation exists for each item, which is at best an idealization. The aim of the SemEval-2021 shared task on Learning with Disagreements (Le-wi-Di) wasto provide a unified testing framework for methods for learning from data containing multiple and possibly contradictory annotations covering the best-known datasets containing information about disagreements for interpreting language and classifying images. In this paper we describe the shared task and its results. ...
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Computational Linguistics
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Condensed Matter Physics
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Deep Learning
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FOS Physical sciences
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Information and Knowledge Engineering
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Semantics
URL:
https://underline.io/lecture/30027-semeval-2021-task-12-learning-with-disagreement
https://dx.doi.org/10.48448/jnrq-9d84
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