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Natural Language Inference

918 directly classified papers

Papers per year

Papers

Multimodal Frame Identification with Multilingual Evaluation NAACL 2018
Identifying Semantic Divergences in Parallel Text without Annotations NAACL 2018
Inducing Temporal Relations from Time Anchor Annotation NAACL 2018
Gender Bias in Coreference Resolution NAACL 2018
Annotation Artifacts in Natural Language Inference Data NAACL 2018
QED: A fact verification system for the FEVER shared task EMNLP 2018
Sequence-to-Sequence Language Grounding of Non-Markovian Task Specifications RSS 2018
Convolutional Interaction Network for Natural Language Inference EMNLP 2018
Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference EMNLP 2018
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification EMNLP 2018
Structured Alignment Networks for Matching Sentences EMNLP 2018
Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation EACL 2017
FCICU at SemEval-2017 Task 1: Sense-Based Language Independent Semantic Textual Similarity Approach SEMEVAL 2017
RTM at SemEval-2017 Task 1: Referential Translation Machines for Predicting Semantic Similarity SEMEVAL 2017
When is multitask learning effective? Semantic sequence prediction under varying data conditions EACL 2017
Noisy-context surprisal as a human sentence processing cost model EACL 2017
Natural Language Inference from Multiple Premises IJCNLP 2017
Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework IJCNLP 2017
Deep Learning in Lexical Analysis and Parsing IJCNLP 2017
Gray-box Inference for Structured Gaussian Process Models AISTATS 2017
Verb Replacer: An English Verb Error Correction System IJCNLP 2017
Pay Attention to the Ending:Strong Neural Baselines for the ROC Story Cloze Task ACL 2017
Improving a Strong Neural Parser with Conjunction-Specific Features EACL 2017
Identifying beneficial task relations for multi-task learning in deep neural networks EACL 2017
Learning to Predict Denotational Probabilities For Modeling Entailment EACL 2017