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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 Page: 1...48 49 50 51 52 Hits 1.021 – 1.029 of 1.029 1021 The Low-Dimensional Linear Geometry of Contextualized Word Representations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Andreas, Jacob; Hernandez, Evan. - : Underline Science Inc., 2021 BASE Show details 1022 Data Collection vs. Knowledge Graph Completion: What is Needed to Improve Coverage? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bian, Yuchen; Church, Kenneth. - : Underline Science Inc., 2021 BASE Show details 1023 Coreference-aware Surprisal Predicts Brain Response ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Jaffe, Evan; Oh, Byung-Doh. - : Underline Science Inc., 2021 BASE Show details 1024 Linguistic Dependencies and Statistical Dependence ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Du, Wenyu; Hoover, Jacob; O'Donnell, Timothy; Sordoni, Alessandro. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.234/ Abstract: Are pairs of words that tend to occur together also likely to stand in a linguistic dependency? This empirical question is motivated by a long history of literature in cognitive science, psycholinguistics, and NLP. In this work we contribute an extensive analysis of the relationship between linguistic dependencies and statistical dependence between words. Improving on previous work, we introduce the use of large pretrained language models to compute contextualized estimates of the pointwise mutual information between words (CPMI). For multiple models and languages, we extract dependency trees which maximize CPMI, and compare to gold standard linguistic dependencies. Overall, we find that CPMI dependencies achieve an unlabelled undirected attachment score of at most $\approx 0.5$. While far above chance, and consistently above a non-contextualized PMI baseline, this score is generally comparable to a simple baseline formed by ... Keyword: Cognitive Modeling; Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/3xcq-c408 https://underline.io/lecture/37984-linguistic-dependencies-and-statistical-dependence BASE Hide details 1025 Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Aina, Laura; Boleda, Gemma. - : Underline Science Inc., 2021 BASE Show details 1026 Live Session - 2E: Linguistic Theories, Cognitive Modeling and Psycholinguistics ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021. - : Underline Science Inc., 2021 BASE Show details 1027 Coreference-aware Surprisal Predicts Brain Response ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Jaffe, Evan; Oh, Byung-Doh. - : Underline Science Inc., 2021 BASE Show details 1028 Synthetic Textual Features for the Large-Scale Detection of Basic-level Categories in English and Mandarin ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Yiwen; Teufel, Simone. - : Underline Science Inc., 2021 BASE Show details 1029 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 Page: 1...48 49 50 51 52

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