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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 – 7 of 7 1 Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference ... Hu, Hai; Zhou, He; Tian, Zuoyu. - : arXiv, 2021 BASE Show details 2 OCNLI: Original Chinese Natural Language Inference ... Hu, Hai; Richardson, Kyle; Xu, Liang. - : arXiv, 2020 BASE Show details 3 Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation ... Geiger, Atticus; Richardson, Kyle; Potts, Christopher. - : arXiv, 2020 Abstract: We address whether neural models for Natural Language Inference (NLI) can learn the compositional interactions between lexical entailment and negation, using four methods: the behavioral evaluation methods of (1) challenge test sets and (2) systematic generalization tasks, and the structural evaluation methods of (3) probes and (4) interventions. To facilitate this holistic evaluation, we present Monotonicity NLI (MoNLI), a new naturalistic dataset focused on lexical entailment and negation. In our behavioral evaluations, we find that models trained on general-purpose NLI datasets fail systematically on MoNLI examples containing negation, but that MoNLI fine-tuning addresses this failure. In our structural evaluations, we look for evidence that our top-performing BERT-based model has learned to implement the monotonicity algorithm behind MoNLI. Probes yield evidence consistent with this conclusion, and our intervention experiments bolster this, showing that the causal dynamics of the model mirror the causal ... : In Proceedings of BlackBoxNLP 2020 at EMNLP 2020 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2004.14623 https://dx.doi.org/10.48550/arxiv.2004.14623 BASE Hide details 4 MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity Hu, Hai; Chen, Qi; Richardson, Kyle... In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 5 Probing Natural Language Inference Models through Semantic Fragments ... Richardson, Kyle; Hu, Hai; Moss, Lawrence S.. - : arXiv, 2019 BASE Show details 6 What Does My QA Model Know? Devising Controlled Probes using Expert Knowledge ... Richardson, Kyle; Sabharwal, Ashish. - : arXiv, 2019 BASE Show details 7 MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity ... Hu, Hai; Chen, Qi; Richardson, Kyle. - : arXiv, 2019 BASE Show details

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