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Goldberg, Yoav (5)
The 2021 Conference on Empirical Methods in Natural Language Processing 2021 (5)
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Hits 1 – 5 of 5
1
Contrastive Explanations for Model Interpretability ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Choi, Yejin
;
Elazar, Yanai
. - : Underline Science Inc., 2021
BASE
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2
Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Goldberg, Yoav
;
Merrill, William
. - : Underline Science Inc., 2021
BASE
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3
Measuring and Improving Consistency in Pretrained Language Models ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Elazar, Yanai
;
Goldberg, Yoav
;
Hovy, Eduard
;
Kassner, Nora
;
Ravfogel, Shauli
;
Ravichander, Abhilasha
;
Schütze, Hinrich
. - : Underline Science Inc., 2021
Abstract:
Consistency of a model — that is, the invariance of its behavior under meaning preserving alternations in its input — is a highly desirable property in natural language processing. In this paper we study the question: Are Pretrained Language Models (PLMs) consistent with respect to factual knowledge? To this end, we create PARAREL , a high-quality resource of cloze-style query English paraphrases. It contains a total of 328 paraphrases for 38 relations. Using PARAREL , we show that the consistency of all PLMs we experiment with is poor – though with high variance between relations. Our analysis of the representational spaces of PLMs suggests that they have a poor structure and are currently not suitable for representing knowledge robustly. Finally, we propose a method for improving model consistency and experimentally demonstrate its effectiveness. ...
Keyword:
Computational Linguistics
;
Language Models
;
Machine Learning
;
Machine Learning and Data Mining
;
Natural Language Processing
URL:
https://underline.io/lecture/38196-measuring-and-improving-consistency-in-pretrained-language-models
https://dx.doi.org/10.48448/rb2w-8959
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4
Aligning Faithful Interpretations with their Social Attribution ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Goldberg, Yoav
;
Jacovi, Alon
. - : Underline Science Inc., 2021
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5
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Goldberg, Yoav
;
Linzen, Tal
. - : Underline Science Inc., 2021
BASE
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