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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...38 39 40 41 42 Hits 821 – 830 of 830 821 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 Show details 822 Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Dieuwke; Jia, Robin. - : Underline Science Inc., 2021 BASE Show details 823 A Data Bootstrapping Recipe for Low-Resource Multilingual Relation Classification ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Nag, Arijit. - : Underline Science Inc., 2021 BASE Show details 824 SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cao, Yanan; Cao, Cungen. - : Underline Science Inc., 2021 BASE Show details 825 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 826 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 827 Linguistic Dependencies and Statistical Dependence ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Du, Wenyu; Hoover, Jacob. - : Underline Science Inc., 2021 BASE Show details 828 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 829 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 830 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 Page: 1...38 39 40 41 42

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