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 1101–1150 of 1961 papers

TitleStatusHype
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference—0
PhoBERT: Pre-trained language models for VietnameseCode1
Quantized Neural Network Inference with Precision Batching—0
Sparse Sinkhorn AttentionCode0
Improving BERT Fine-Tuning via Self-Ensemble and Self-DistillationCode1
From English To Foreign Languages: Transferring Pre-trained Language ModelsCode1
Stress Test Evaluation of Transformer-based Models in Natural Language Understanding Tasks—0
Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language InferenceCode1
Adversarial Filters of Dataset BiasesCode1
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language InferenceCode1
TextNAS: A Neural Architecture Search Space tailored for Text Representation—0
Cross-Lingual Ability of Multilingual BERT: An Empirical Study—0
FlauBERT: Unsupervised Language Model Pre-training for FrenchCode0
Collecting Entailment Data for Pretraining: New Protocols and Negative Results—0
Unsupervised Transfer Learning via BERT Neuron Selection—0
Adversarial Analysis of Natural Language Inference Systems—0
Semi-supervised Visual Feature Integration for Pre-trained Language Models—0
Compositional De-Attention Networks—0
Paraphrasing Verbs for Noun Compound Interpretation—0
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case GeneralizationCode1
Generating Persona Consistent Dialogues by Exploiting Natural Language InferenceCode0
Learning to Few-Shot Learn Across Diverse Natural Language Classification TasksCode0
CamemBERT: a Tasty French Language ModelCode0
Increasing Robustness to Spurious Correlations using Forgettable Examples—0
Multi-Perspective Inferrer: Reasoning Sentences Relationship from Holistic Perspective—0
What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning—0
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized OptimizationCode1
Probing Contextualized Sentence Representations with Visual Awareness—0
Transformation of Dense and Sparse Text RepresentationsCode0
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performanceCode1
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks—0
Path-Based Contextualization of Knowledge Graphs for Textual Entailment—0
Posing Fair Generalization Tasks for Natural Language Inference—0
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram RepresentationsCode1
Asynchronous Deep Interaction Network for Natural Language Inference—0
IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis—0
How well do NLI models capture verb veridicality?—0
Original Semantics-Oriented Attention and Deep Fusion Network for Sentence Matching—0
Fine-tune BERT with Sparse Self-Attention Mechanism—0
Evaluating BERT for natural language inference: A case study on the CommitmentBank—0
Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching—0
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling—0
A Comparative Analysis of Unsupervised Language Adaptation Methods—0
Extractive NarrativeQA with Heuristic Pre-Training—0
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionCode1
Evaluating the Factual Consistency of Abstractive Text SummarizationCode1
Thieves on Sesame Street! Model Extraction of BERT-based APIsCode0
Word-level Textual Adversarial Attacking as Combinatorial OptimizationCode0
A memory enhanced LSTM for modeling complex temporal dependencies—0
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerCode2
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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