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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 18 of 18 1 SCiL 2022 Editors' Note Ettinger, Allyson; Hunter, Tim; Prickett, Brandon In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 2 Sorting through the noise: Testing robustness of information processing in pre-trained language models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ettinger, Allyson; Pandia, Lalchand. - : Underline Science Inc., 2021 BASE Show details 3 On the Interplay Between Fine-tuning and Composition in Transformers ... Yu, Lang; Ettinger, Allyson. - : arXiv, 2021 BASE Show details 4 On the Interplay Between Fine-tuning and Composition in Transformers ... 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; Ettinger, Allyson; Yu, Lang. - : Underline Science Inc., 2021 BASE Show details 5 Pragmatic competence of pre-trained language models through the lens of discourse connectives ... Pandia, Lalchand; Cong, Yan; Ettinger, Allyson. - : arXiv, 2021 BASE Show details 6 Pragmatic competence of pre-trained language models through the lens of discourse connectives ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cong, Yan; Ettinger, Allyson; Pandia, Lalchand. - : Underline Science Inc., 2021 Abstract: As pre-trained language models (LMs) continue to dominate NLP, it is increasingly important that we understand the depth of language capabilities in these models. In this paper, we target pre-trained LMs' competence in pragmatics, with a focus on pragmatics relating to discourse connectives. We formulate cloze-style tests using a combination of naturally-occurring data and controlled inputs drawn from psycholinguistics. We focus on testing models' ability to use pragmatic cues to predict discourse connectives, models' ability to understand implicatures relating to connectives, and the extent to which models show humanlike preferences regarding temporal dynamics of connectives. We find that although models predict connectives reasonably well in the context of naturally-occurring data, when we control contexts to isolate high-level pragmatic cues, model sensitivity is much lower. Models also do not show substantial humanlike temporal preferences. Overall, the findings suggest that at present, dominant ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://underline.io/lecture/39856-pragmatic-competence-of-pre-trained-language-models-through-the-lens-of-discourse-connectives https://dx.doi.org/10.48448/x840-9k05 BASE Hide details 7 Preface: SCiL 2021 Editors' Note Ettinger, Allyson; Pavlich, Ellie; Prickett, Brandon In: Proceedings of the Society for Computation in Linguistics (2021) BASE Show details 8 Exploring BERT's Sensitivity to Lexical Cues using Tests from Semantic Priming ... Misra, Kanishka; Ettinger, Allyson; Rayz, Julia Taylor. - : arXiv, 2020 BASE Show details 9 Assessing Phrasal Representation and Composition in Transformers ... Yu, Lang; Ettinger, Allyson. - : arXiv, 2020 BASE Show details 10 Preface: SCiL 2020 Editors' Note Ettinger, Allyson; Jarosz, Gaja; Nelson, Max In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 11 What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models Ettinger, Allyson In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 34-48 (2020) (2020) BASE Show details 12 Mandarin utterance-final particle ba (吧) in the conversational scoreboard Ettinger, Allyson; Malamud, Sophia A. 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) BASE Show details 13 Assessing Composition in Sentence Vector Representations ... Ettinger, Allyson; Elgohary, Ahmed; Phillips, Colin. - : arXiv, 2018 BASE Show details 14 Relating lexical and syntactic processes in language: Bridging research in humans and machines ... Ettinger, Allyson. - : Digital Repository at the University of Maryland, 2018 BASE Show details 15 Relating lexical and syntactic processes in language: Bridging research in humans and machines Ettinger, Allyson. - 2018 BASE Show details 16 Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task ... Ettinger, Allyson; Rao, Sudha; Daumé, Hal. - : arXiv, 2017 BASE Show details 17 The role of morphology in phoneme prediction: Evidence from MEG Ettinger, Allyson; Linzen, Tal; Marantz, Alec In: Brain & language. - Orlando, Fla. [u.a.] : Elsevier 129 (2014), 14-23 OLC Linguistik Show details 18 Mandarin utterance-final particle ba in the conversational scoreboard Ettinger, Allyson; Malamud, Sophia A. In: LSA Annual Meeting Extended Abstracts; Vol 4: LSA Annual Meeting Extended Abstracts 2013; 13:1-5 ; 2377-3367 (2013) BASE Show details

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