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1
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation ...
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2
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection ...
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3
Probing Across Time: What Does RoBERTa Know and When? ...
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4
Specializing Multilingual Language Models: An Empirical Study ...
Chau, Ethan C.; Smith, Noah A.. - : arXiv, 2021
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5
Challenges in Automated Debiasing for Toxic Language Detection ...
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6
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics ...
Lu, Ximing; Welleck, Sean; West, Peter. - : arXiv, 2021
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7
Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank ...
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8
The Multilingual Amazon Reviews Corpus ...
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9
Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings ...
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10
Evaluating Models' Local Decision Boundaries via Contrast Sets ...
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11
Grounded Compositional Outputs for Adaptive Language Modeling ...
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12
Polyglot Contextual Representations Improve Crosslingual Transfer ...
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13
Situating Sentence Embedders with Nearest Neighbor Overlap ...
Lin, Lucy H.; Smith, Noah A.. - : arXiv, 2019
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14
Low-Resource Parsing with Crosslingual Contextualized Representations ...
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15
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning ...
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16
Shallow Syntax in Deep Water ...
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17
Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning ...
Cohen, Shay B.; Smith, Noah A.. - : Figshare, 2018
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18
Nonparametric Word Segmentation for Machine Translation ...
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19
Unsupervised Bilingual POS Tagging with Markov Random Fields ...
Abstract: In this paper, we give a treatment to the problem of bilingual part-of-speech induction with parallel data. We demonstrate that na¨ıve optimization of log-likelihood with joint MRFs suffers from a severe problem of local maxima, and suggest an alternative – using contrastive estimation for estimation of the parameters. Our experiments show that estimating the parameters this way, using overlapping features with joint MRFs performs better than previous work on the 1984 dataset. ...
Keyword: 89999 Information and Computing Sciences not elsewhere classified; FOS Computer and information sciences
URL: https://dx.doi.org/10.1184/r1/6473810.v1
https://figshare.com/articles/Unsupervised_Bilingual_POS_Tagging_with_Markov_Random_Fields/6473810/1
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20
Unsupervised Bilingual POS Tagging with Markov Random Fields ...
Desai Chen; Dyer, Chris; Cohen, Shay B.. - : Figshare, 2018
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