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1508.05326
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A large annotated corpus for learning natural language inference
21 August 2015
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
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Papers citing
"A large annotated corpus for learning natural language inference"
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Title
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance
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Yasheng Wang
Qun Liu
Maosong Sun
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20 Oct 2019
MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity
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Qi Chen
Kyle Richardson
A. Mukherjee
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19 Oct 2019
Universal Text Representation from BERT: An Empirical Study
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Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations
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Brendan Shillingford
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Phil Blunsom
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BERT for Evidence Retrieval and Claim Verification
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Christof Monz
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Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods
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Generalization in Generation: A closer look at Exposure Bias
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126
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Zachary Chase Lipton
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190
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Attention Interpretability Across NLP Tasks
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Inducing Constituency Trees through Neural Machine Translation
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Visuallly Grounded Generation of Entailments from Premises
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50
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Subword ELMo
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Text Length Adaptation in Sentiment Classification
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Seung-won Hwang
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Improving Natural Language Inference with a Pretrained Parser
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Noah A. Smith
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Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
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Songhe Wang
Joey Tianyi Zhou
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Probing Natural Language Inference Models through Semantic Fragments
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Ashish Sabharwal
101
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End-to-End Bias Mitigation by Modelling Biases in Corpora
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A Bayesian Approach to Direct and Inverse Abstract Argumentation Problems
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Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability
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46
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Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
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145
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Transfer Reward Learning for Policy Gradient-Based Text Generation
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25
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Entity, Relation, and Event Extraction with Contextualized Span Representations
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120
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Quality Estimation for Image Captions Based on Large-scale Human Evaluations
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63
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Uncertain Natural Language Inference
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Robustness to Modification with Shared Words in Paraphrase Identification
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Minlie Huang
159
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Semantics-aware BERT for Language Understanding
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Zhao Hai
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81
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TabFact: A Large-scale Dataset for Table-based Fact Verification
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Certified Robustness to Adversarial Word Substitutions
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A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
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67
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A Logic-Driven Framework for Consistency of Neural Models
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165
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Knowledge Enhanced Attention for Robust Natural Language Inference
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Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange
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Autoregressive Text Generation Beyond Feedback Loops
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Detecting and Reducing Bias in a High Stakes Domain
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Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds
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126
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Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual
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Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
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