SOTAVerified

Natural Language Inference

Natural language inference (NLI) is the task of determining whether a "hypothesis" is true (entailment), false (contradiction), or undetermined (neutral) given a "premise".

Example:

| Premise | Label | Hypothesis | | --- | ---| --- | | A man inspects the uniform of a figure in some East Asian country. | contradiction | The man is sleeping. | | An older and younger man smiling. | neutral | Two men are smiling and laughing at the cats playing on the floor. | | A soccer game with multiple males playing. | entailment | Some men are playing a sport. |

Approaches used for NLI include earlier symbolic and statistical approaches to more recent deep learning approaches. Benchmark datasets used for NLI include SNLI, MultiNLI, SciTail, among others. You can get hands-on practice on the SNLI task by following this d2l.ai chapter.

Further readings:

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–750 of 1961 papers

TitleStatusHype
Unsupervised Knowledge Graph Construction and Event-centric Knowledge Infusion for Scientific NLI—0
BERT-Flow-VAE: A Weakly-supervised Model for Multi-Label Text Classification—0
Leveraging Affirmative Interpretations from Negation Improves Natural Language UnderstandingCode0
BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial ExamplesCode0
OpenStance: Real-world Zero-shot Stance DetectionCode0
Universal Evasion Attacks on Summarization ScoringCode0
Towards Better Few-Shot and Finetuning Performance with Forgetful Causal Language Models—0
Realistic Data Augmentation Framework for Enhancing Tabular Reasoning—0
Conformal Predictor for Improving Zero-shot Text Classification Efficiency—0
Lexical Generalization Improves with Larger Models and Longer TrainingCode0
R^2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language InferenceCode0
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP ModelsCode0
Large Language Models Can Self-Improve—0
A Linguistic Investigation of Machine Learning based Contradiction Detection Models: An Empirical Analysis and Future Perspectives—0
Machine and Deep Learning Methods with Manual and Automatic Labelling for News Classification in Bangla Language—0
Textual Entailment Recognition with Semantic Features from Empirical Text Representation—0
ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive PretrainingCode0
Assessing Out-of-Domain Language Model Performance from Few Examples—0
LIME: Weakly-Supervised Text Classification Without SeedsCode0
Rethinking Annotation: Can Language Learners Contribute?—0
Benchmarking Long-tail Generalization with Likelihood SplitsCode0
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair ModelingCode0
Rethinking the Event Coding Pipeline with Prompt EntailmentCode0
CORE: A Retrieve-then-Edit Framework for Counterfactual Data GenerationCode0
Robust Unsupervised Cross-Lingual Word Embedding using Domain Flow Interpolation—0
Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal NegationCode0
InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial ExamplesCode0
Just ClozE! A Novel Framework for Evaluating the Factual Consistency Faster in Abstractive SummarizationCode0
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation—0
Hypothesis Engineering for Zero-Shot Hate Speech DetectionCode0
Automatic Nominalization of Clauses—0
ViNLI: A Vietnamese Corpus for Studies on Open-Domain Natural Language Inference—0
To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning.—0
Mitigating the Diminishing Effect of Elastic Weight Consolidation—0
Parsing Natural Language into Propositional and First-Order Logic with Dual Reinforcement Learning—0
Argument Novelty and Validity Assessment via Multitask and Transfer Learning—0
DIFM:An effective deep interaction and fusion model for sentence matching—0
ArNLI: Arabic Natural Language Inference for Entailment and Contradiction DetectionCode0
Using contradictions improves question answering systems—0
Can We Automate the Analysis of Online Child Sexual Exploitation Discourse?—0
Learning to Write with Coherence From Negative Examples—0
Sequence Learning Using Equilibrium PropagationCode0
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical WordsCode0
Testing Pre-trained Language Models' Understanding of Distributivity via Causal Mediation AnalysisCode0
Investigating Reasons for Disagreement in Natural Language InferenceCode0
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations—0
Generating Intermediate Steps for NLI with Next-Step Supervision—0
No means ‘No’; a non-im-proper modeling approach, with embedded speculative context—0
Improving Personality Consistency in Conversation by Persona ExtendingCode0
Revising Image-Text Retrieval via Multi-Modal Entailment—0
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All datasetsSNLIRTEMultiNLIQNLIANLI testWNLILiDiRusRCBTERRaCommitmentBankSciTailFarsTail

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UnitedSynT5 (3B)% Test Accuracy94.7—Unverified
2UnitedSynT5 (335M)% Test Accuracy93.5—Unverified
3Neural Tree Indexers for Text Understanding% Test Accuracy93.1—Unverified
4EFL (Entailment as Few-shot Learner) + RoBERTa-large% Test Accuracy93.1—Unverified
5RoBERTa-large+Self-Explaining% Test Accuracy92.3—Unverified
6RoBERTa-large + self-explaining layer% Test Accuracy92.3—Unverified
7CA-MTL% Test Accuracy92.1—Unverified
8SemBERT% Test Accuracy91.9—Unverified
9MT-DNN-SMARTLARGEv0% Test Accuracy91.7—Unverified
10MT-DNN-SMART_100%ofTrainingDataDev Accuracy91.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Vega v2 6B (KD-based prompt transfer)Accuracy96—Unverified
2PaLM 540B (fine-tuned)Accuracy95.7—Unverified
3Turing NLR v5 XXL 5.4B (fine-tuned)Accuracy94.1—Unverified
4ST-MoE-32B 269B (fine-tuned)Accuracy93.5—Unverified
5DeBERTa-1.5BAccuracy93.2—Unverified
6MUPPET Roberta LargeAccuracy92.8—Unverified
7DeBERTaV3largeAccuracy92.7—Unverified
8T5-XXL 11B (fine-tuned)Accuracy92.5—Unverified
9T5-XXL 11BAccuracy92.5—Unverified
10ST-MoE-L 4.1B (fine-tuned)Accuracy92.1—Unverified
#ModelMetricClaimedVerifiedStatus
1UnitedSynT5 (3B)Matched92.6—Unverified
2Turing NLR v5 XXL 5.4B (fine-tuned)Matched92.6—Unverified
3T5-XXL 11B (fine-tuned)Matched92—Unverified
4T5Matched92—Unverified
5T5-11BMismatched91.7—Unverified
6T5-3BMatched91.4—Unverified
7ALBERTMatched91.3—Unverified
8Adv-RoBERTa ensembleMatched91.1—Unverified
9DeBERTa (large)Matched91.1—Unverified
10SMARTRoBERTaDev Matched91.1—Unverified