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Hits 1 – 3 of 3
1
Better than Average: Paired Evaluation of NLP systems ...
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
;
Eger, Steffen
;
Peyrard, Maxime
;
West, Robert
;
Zhao, Wei
. - : Underline Science Inc., 2021
Abstract:
Read paper: https://www.aclanthology.org/2021.acl-long.179 Abstract: Evaluation in NLP is usually done by comparing the scores of competing systems independently averaged over a common set of test instances. In this work, we question the use of averages for aggregating evaluation scores into a final number used to decide which system is best, since the average, as well as alternatives such as the median, ignores the pairing arising from the fact that systems are evaluated on the same test instances. We illustrate the importance of taking the instance\hyp level pairing of evaluation scores into account and demonstrate, both theoretically and empirically, the advantages of aggregation methods based on pairwise comparisons, such as the Bradley--Terry (BT) model, a mechanism based on the estimated probability that a given system scores better than another on the test set. By re-evaluating 296 real NLP evaluation setups across four tasks and 18 evaluation metrics, we show that the choice of aggregation mechanism ...
Keyword:
Computational Linguistics
;
Condensed Matter Physics
;
Deep Learning
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Electromagnetism
;
FOS Physical sciences
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Information and Knowledge Engineering
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Neural Network
;
Semantics
URL:
https://dx.doi.org/10.48448/azt9-r152
https://underline.io/lecture/25501-better-than-average-paired-evaluation-of-nlp-systems
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2
On the limitations of cross-lingual encoders as exposed by reference-free machine translation evaluation
Zhao, Wei
;
Glavaš, Goran
;
Peyrard, Maxime
. - : Association for Computational Linguistics, 2020
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3
On aligning OpenIE extractions with Knowledge Bases: A case study
Gashteovski, Kiril
;
Gemulla, Rainer
;
Kotnis, Bhushan
. - : Association for Computational Linguistics (ACL), 2020
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