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1
SCiL 2022 Editors' Note
In: Proceedings of the Society for Computation in Linguistics (2022)
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2
Sorting through the noise: Testing robustness of information processing in pre-trained language models ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.119/ Abstract: Pre-trained LMs have shown impressive performance on downstream NLP tasks, but we have yet to establish a clear understanding of their sophistication when it comes to processing, retaining, and applying information presented in their input. In this paper we tackle a component of this question by examining robustness of models' ability to deploy relevant context information in the face of distracting content. We present models with cloze tasks requiring use of critical context information, and introduce distracting content to test how robustly the models retain and use that critical information for prediction. We also systematically manipulate the nature of these distractors, to shed light on dynamics of models' use of contextual cues. We find that although models appear in simple contexts to make predictions based on understanding and applying relevant facts from prior context, the presence of distracting but irrelevant content has ...
Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://dx.doi.org/10.48448/skv4-fe10
https://underline.io/lecture/37778-sorting-through-the-noise-testing-robustness-of-information-processing-in-pre-trained-language-models
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3
On the Interplay Between Fine-tuning and Composition in Transformers ...
Yu, Lang; Ettinger, Allyson. - : arXiv, 2021
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4
On the Interplay Between Fine-tuning and Composition in Transformers ...
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5
Pragmatic competence of pre-trained language models through the lens of discourse connectives ...
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6
Pragmatic competence of pre-trained language models through the lens of discourse connectives ...
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7
Preface: SCiL 2021 Editors' Note
In: Proceedings of the Society for Computation in Linguistics (2021)
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8
Exploring BERT's Sensitivity to Lexical Cues using Tests from Semantic Priming ...
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9
Assessing Phrasal Representation and Composition in Transformers ...
Yu, Lang; Ettinger, Allyson. - : arXiv, 2020
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10
Preface: SCiL 2020 Editors' Note
In: Proceedings of the Society for Computation in Linguistics (2020)
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11
What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models
In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 34-48 (2020) (2020)
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12
Mandarin utterance-final particle ba (吧) in the conversational scoreboard
In: Sinn und Bedeutung; Bd. 19 (2015): Proceedings of Sinn und Bedeutung 19; 232-251 ; Proceedings of Sinn und Bedeutung; Vol 19 (2015): Proceedings of Sinn und Bedeutung 19; 232-251 ; 2629-6055 (2019)
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13
Assessing Composition in Sentence Vector Representations ...
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14
Relating lexical and syntactic processes in language: Bridging research in humans and machines ...
Ettinger, Allyson. - : Digital Repository at the University of Maryland, 2018
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15
Relating lexical and syntactic processes in language: Bridging research in humans and machines
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16
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task ...
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17
The role of morphology in phoneme prediction: Evidence from MEG
In: Brain & language. - Orlando, Fla. [u.a.] : Elsevier 129 (2014), 14-23
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18
Mandarin utterance-final particle ba in the conversational scoreboard
In: LSA Annual Meeting Extended Abstracts; Vol 4: LSA Annual Meeting Extended Abstracts 2013; 13:1-5 ; 2377-3367 (2013)
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