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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 2 3 4 5...7 Hits 1 – 20 of 130 1 WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation ... Liu, Alisa; Swayamdipta, Swabha; Smith, Noah A.. - : arXiv, 2022 BASE Show details 2 Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection ... Sap, Maarten; Swayamdipta, Swabha; Vianna, Laura. - : arXiv, 2021 BASE Show details 3 Probing Across Time: What Does RoBERTa Know and When? ... Liu, Leo Z.; Wang, Yizhong; Kasai, Jungo. - : arXiv, 2021 BASE Show details 4 Specializing Multilingual Language Models: An Empirical Study ... Chau, Ethan C.; Smith, Noah A.. - : arXiv, 2021 BASE Show details 5 Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Goldberg, Yoav; Merrill, William. - : Underline Science Inc., 2021 BASE Show details 6 Measuring Association Between Labels and Free-Text Rationales ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Marasovic, Ana; Smith, Noah A.. - : Underline Science Inc., 2021 BASE Show details 7 Promoting Graph Awareness in Linearized Graph-to-Text Generation ... 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; Hoyle, Alexander; Marasovic, Ana. - : Underline Science Inc., 2021 BASE Show details 8 Challenges in Automated Debiasing for Toxic Language Detection ... Zhou, Xuhui; Sap, Maarten; Swayamdipta, Swabha. - : arXiv, 2021 BASE Show details 9 NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics ... Lu, Ximing; Welleck, Sean; West, Peter. - : arXiv, 2021 BASE Show details 10 Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Goldberg, Yoav; Merrill, William. - : Underline Science Inc., 2021 BASE Show details 11 Competency Problems: On Finding and Removing Artifacts in Language Data ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Dodge, Jesse; Gardner, Matt. - : Underline Science Inc., 2021 BASE Show details 12 Extracting and Inferring Personal Attributes from Dialogue Wang, Zhilin. - 2021 BASE Show details 13 Positive AI with Social Commonsense Models Sap, Maarten. - 2021 BASE Show details 14 Semantic Comparisons for Natural Language Processing Applications Lin, Lucy. - 2021 BASE Show details 15 Challenges in Automated Debiasing for Toxic Language Detection ZHOU, XUHUI. - 2021 BASE Show details 16 Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank ... Chau, Ethan C.; Lin, Lucy H.; Smith, Noah A.. - : arXiv, 2020 BASE Show details 17 The Multilingual Amazon Reviews Corpus ... Keung, Phillip; Lu, Yichao; Szarvas, György. - : arXiv, 2020 BASE Show details 18 Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings ... Keung, Phillip; Salazar, Julian; Lu, Yichao; Smith, Noah A.. - : arXiv, 2020 Abstract: We describe an unsupervised method to create pseudo-parallel corpora for machine translation (MT) from unaligned text. We use multilingual BERT to create source and target sentence embeddings for nearest-neighbor search and adapt the model via self-training. We validate our technique by extracting parallel sentence pairs on the BUCC 2017 bitext mining task and observe up to a 24.5 point increase (absolute) in F1 scores over previous unsupervised methods. We then improve an XLM-based unsupervised neural MT system pre-trained on Wikipedia by supplementing it with pseudo-parallel text mined from the same corpus, boosting unsupervised translation performance by up to 3.5 BLEU on the WMT'14 French-English and WMT'16 German-English tasks and outperforming the previous state-of-the-art. Finally, we enrich the IWSLT'15 English-Vietnamese corpus with pseudo-parallel Wikipedia sentence pairs, yielding a 1.2 BLEU improvement on the low-resource MT task. We demonstrate that unsupervised bitext mining is an effective way ... : To appear in the Transactions of the Association for Computational Linguistics ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://arxiv.org/abs/2010.07761 https://dx.doi.org/10.48550/arxiv.2010.07761 BASE Hide details 19 Evaluating Models' Local Decision Boundaries via Contrast Sets ... Gardner, Matt; Artzi, Yoav; Basmova, Victoria. - : arXiv, 2020 BASE Show details 20 Grounded Compositional Outputs for Adaptive Language Modeling ... Pappas, Nikolaos; Mulcaire, Phoebe; Smith, Noah A.. - : arXiv, 2020 BASE Show details Page: 1 2 3 4 5...7

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