← Resources & Methods
Natural Language Processing › Resources & Methods ›

Natural Language Inference

680 directly classified papers

Papers per year

Papers

Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation EMNLP 2020
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference EMNLP 2020
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data EMNLP 2020
The Extraordinary Failure of Complement Coercion Crowdsourcing EMNLP 2020
INFOTABS: Inference on Tables as Semi-structured Data ACL 2020
Adversarial NLI: A New Benchmark for Natural Language Understanding ACL 2020
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences ACL 2020
Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition ACL 2020
Translation-Based Matching Adversarial Network for Cross-Lingual Natural Language Inference AAAI 2020
Enhancing Natural Language Inference Using New and Expanded Training Data Sets and New Learning Models AAAI 2020
Knowledge-Enhanced Natural Language Inference Based on Knowledge Graphs COLING 2020
Saama Research at MEDIQA 2019: Pre-trained BioBERT with Attention Visualisation for Medical Natural Language Inference ACL 2019
Team DOMLIN: Exploiting Evidence Enhancement for the FEVER Shared Task EMNLP 2019
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching AAAI 2019
Probing Biomedical Embeddings from Language Models NAACL 2019
Testing the Generalization Power of Neural Network Models across NLI Benchmarks ACL 2019
MSIT_SRIB at MEDIQA 2019: Knowledge Directed Multi-task Framework for Natural Language Inference in Clinical Domain. ACL 2019
Repurposing Entailment for Multi-Hop Question Answering Tasks NAACL 2019
Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations ACL 2019
What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks AAAI 2019
KU_ai at MEDIQA 2019: Domain-specific Pre-training and Transfer Learning for Medical NLI ACL 2019
How to Compare Summarizers without Target Length? Pitfalls, Solutions and Re-Examination of the Neural Summarization Literature NAACL 2019
Analyzing Compositionality-Sensitivity of NLI Models AAAI 2019
WTMED at MEDIQA 2019: A Hybrid Approach to Biomedical Natural Language Inference ACL 2019
Probing Neural Network Comprehension of Natural Language Arguments ACL 2019