Logic, inference, understanding: cross-domain generalization for generative language models [PDF]
Frontiers in Artificial IntelligenceNeural systems for Natural Language Inference (NLI) have seen impressive performance over the last ten years, but their ability to generalize beyond their training data has repeatedly been questioned.
Rasmus Blanck, Bill Noble
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Natural language inference by deep learning method [PDF]
MATEC Web of Conferences, 2022 Natural Language inference refers to the problem of determining the relationships between a premise and a hypothesis, it is an emerging area of natural language processing. The paper uses deep learning methods to complete natural language inference task.
Li Saihan, Hu Zhijie, Cao Rong
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Uncertain Natural Language Inference [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 We introduce Uncertain Natural Language Inference (UNLI), a refinement of Natural Language Inference (NLI) that shifts away from categorical labels, targeting instead the direct prediction of subjective probability assessments. We demonstrate the feasibility of collecting annotations for UNLI by relabeling a portion of the SNLI dataset under a ...
Tongfei Chen +4 more
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Inferring symmetry in natural language [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 10 pages, 4 figures, Findings of ...
Chelsea Tanchip +3 more
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Information-theoretic causal inference of lexical flow [PDF]
, 2019 This volume seeks to infer large phylogenetic networks from phonetically encoded lexical data and contribute in this way to the historical study of language varieties.
Dellert, Johannes
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Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
Transactions of the Association for Computational Linguistics, 2022 A fundamental goal of scientific research is to learn about causal relationships. However, despite its critical role in the life and social sciences, causality has not had the same importance in Natural Language Processing (NLP), which has traditionally ...
Amir Feder +12 more
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NILE : Natural Language Inference with Faithful Natural Language Explanations [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 13 pages, 3 figures, Accepted to ACL ...
Sawan Kumar, Partha P. Talukdar
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Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning [PDF]
, 2022 Developing artificial learning systems that can understand and generate natural language has been one of the long-standing goals of artificial intelligence.
Š +20 more
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Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference
Transactions of the Association for Computational Linguistics, 2022 We introduce a neuro-symbolic natural logic framework based on reinforcement learning with introspective revision. The model samples and rewards specific reasoning paths through policy gradient, in which the introspective revision algorithm modifies ...
Yufei Feng +3 more
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On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning [PDF]
, 2021 Recent work has shown evidence that the knowledge acquired by multilingual BERT (mBERT) has two components: a language-specific and a language-neutral one.
Dupoux, Emmanuel +12 more
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