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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 Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.201 Abstract: Pre-trained transformer language models have shown remarkable performance on a variety of NLP tasks. However, recent research has suggested that phrase-level representations in these models reflect heavy influences of lexical content, but lack evidence of sophisticated, compositional phrase information. Here we investigate the impact of fine-tuning on the capacity of contextualized embeddings to capture phrase meaning information beyond lexical content. Specifically, we fine-tune models on an adversarial paraphrase classification task with high lexical overlap, and on a sentiment classification task. After fine-tuning, we analyze phrasal representations in controlled settings following prior work. We find that fine-tuning largely fails to benefit compositionality in these representations, though training on sentiment yields a small, localized benefit for certain models. In follow-up analyses, we identify confounding cues in the ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://dx.doi.org/10.48448/h1kw-6946 https://underline.io/lecture/26292-on-the-interplay-between-fine-tuning-and-composition-in-transformers BASE Hide 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. - : Underline Science Inc., 2021 BASE Show 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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