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 1051–1100 of 1961 papers

TitleStatusHype
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence FunctionsCode1
Towards Robustifying NLI Models Against Lexical Dataset BiasesCode0
Probing Linguistic SystematicityCode0
What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking EmphasisCode1
Probing the Natural Language Inference Task with Automated Reasoning ToolsCode0
How Does Selective Mechanism Improve Self-Attention Networks?Code1
On Faithfulness and Factuality in Abstractive SummarizationCode1
Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?—0
Improving Truthfulness of Headline GenerationCode0
Massively Multilingual Sparse Word RepresentationsCode1
Distributionally Robust Neural NetworksCode1
Towards Verified Robustness under Text Deletion Interventions—0
Decomposing and Comparing Meaning Relations: Paraphrasing, Textual Entailment, Contradiction, and Specificity—0
Towards the Necessity for Debiasing Natural Language Inference Datasets—0
SAPPHIRE: Simple Aligner for Phrasal Paraphrase with Hierarchical Representation—0
AIA-BDE: A Corpus of FAQs in Portuguese and their Variations—0
Discourse Component to Sentence (DC2S): An Efficient Human-Aided Construction of Paraphrase and Sentence Similarity Dataset—0
Japanese Realistic Textual Entailment Corpus—0
Improving the Precision of Natural Textual Entailment Problem Datasets—0
Mandarinograd: A Chinese Collection of Winograd Schemas—0
KLEJ: Comprehensive Benchmark for Polish Language UnderstandingCode1
An Empirical Study of Pre-trained Transformers for Arabic Information ExtractionCode1
Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and NegationCode0
Data and Representation for Turkish Natural Language InferenceCode1
Elastic weight consolidation for better bias inoculationCode0
BURT: BERT-inspired Universal Representation from Twin Structure—0
UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP—0
The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and SuggestionsCode0
Semantics-Aware Inferential Network for Natural Language Understanding—0
GLUECoS : An Evaluation Benchmark for Code-Switched NLP—0
Syntactic Data Augmentation Increases Robustness to Inference HeuristicsCode1
New Protocols and Negative Results for Textual Entailment Data CollectionCode1
Adversarial Training for Large Neural Language Models—0
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision—0
The Right Tool for the Job: Matching Model and Instance ComplexitiesCode1
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial TrainingCode0
Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-ConsciousnessCode1
A New Dataset for Natural Language Inference from Code-mixed Conversations—0
Translation Artifacts in Cross-lingual Transfer LearningCode0
Locality Preserving Loss: Neighbors that Live together, Align together—0
e-SNLI-VE: Corrected Visual-Textual Entailment with Natural Language ExplanationsCode1
Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionCode1
KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language UnderstandingCode1
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited DevicesCode0
Deep Learning Based Text Classification: A Comprehensive ReviewCode1
Evaluating Multimodal Representations on Visual Semantic Textual SimilarityCode1
Calibration of Pre-trained TransformersCode1
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding—0
Matching Text with Deep Mutual Information Estimation—0
Zero-Shot Cross-Lingual Transfer with Meta LearningCode1
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All datasetsSNLIRTEMultiNLIQNLIANLI testWNLILiDiRusRCBTERRaCommitmentBankSciTailFarsTail

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UnitedSynT5 (3B)% Test Accuracy94.7—Unverified
2UnitedSynT5 (335M)% Test Accuracy93.5—Unverified
3EFL (Entailment as Few-shot Learner) + RoBERTa-large% Test Accuracy93.1—Unverified
4Neural Tree Indexers for Text Understanding% 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 11BAccuracy92.5—Unverified
9T5-XXL 11B (fine-tuned)Accuracy92.5—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
8DeBERTa (large)Matched91.1—Unverified
9Adv-RoBERTa ensembleMatched91.1—Unverified
10SMARTRoBERTaDev Matched91.1—Unverified