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

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Showing 701–750 of 1961 papers

TitleStatusHype
Natural Language Inference over Interaction SpaceCode0
HellaSwag: Can a Machine Really Finish Your Sentence?Code0
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI EvaluationCode0
An Evaluation Framework for Mapping News Headlines to Event Classes in a Knowledge GraphCode0
D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language ModelsCode0
Generating Natural Adversarial ExamplesCode0
Generating Natural Language Adversarial ExamplesCode0
Neural Natural Language Inference Models Enhanced with External KnowledgeCode0
Ckylark: A More Robust PCFG-LA ParserCode0
Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question AnsweringCode0
Generating Data to Mitigate Spurious Correlations in Natural Language Inference DatasetsCode0
Generating Persona Consistent Dialogues by Exploiting Natural Language InferenceCode0
GIST at SemEval-2018 Task 12: A network transferring inference knowledge to Argument Reasoning Comprehension taskCode0
New Datasets for Automatic Detection of Textual Entailment and of Contradictions between Sentences in FrenchCode0
HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity ReasoningCode0
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent DetectionCode0
Identifying and Explaining Discriminative AttributesCode0
A Neural-Symbolic Approach to Natural Language UnderstandingCode0
BERTSel: Answer Selection with Pre-trained ModelsCode0
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched TextCode0
Exploring Transitivity in Neural NLI Models through VeridicalityCode0
On Adversarial Robustness and Out-of-Distribution Robustness of Large Language ModelsCode0
Distilling Task-Specific Knowledge from BERT into Simple Neural NetworksCode0
Dissecting vocabulary biases datasets through statistical testing and automated data augmentation for artifact mitigation in Natural Language InferenceCode0
On Measuring and Mitigating Biased Inferences of Word EmbeddingsCode0
From Key Points to Key Point Hierarchy: Structured and Expressive Opinion SummarizationCode0
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label ClassificationCode0
TinyBERT: Distilling BERT for Natural Language UnderstandingCode0
Code Comment Inconsistency Detection with BERT and LongformerCode0
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information ExtractionCode0
DisGeM: Distractor Generation for Multiple Choice Questions with Span MaskingCode0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
Discriminatively-Tuned Generative Classifiers for Robust Natural Language InferenceCode0
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task LearningCode0
From Alignment to Entailment: A Unified Textual Entailment Framework for Entity AlignmentCode0
Discriminating between Lexico-Semantic Relations with the Specialization Tensor ModelCode0
Discrete-State Variational Autoencoders for Joint Discovery and Factorization of RelationsCode0
Discovering Implicit Knowledge with Unary RelationsCode0
Forget NLI, Use a Dictionary: Zero-Shot Topic Classification for Low-Resource Languages with Application to LuxembourgishCode0
Parameter-Efficient Transformer EmbeddingsCode0
FarFetched: Entity-centric Reasoning and Claim Validation for the Greek Language based on Textually Represented EnvironmentsCode0
From Text to Context: An Entailment Approach for News Stakeholder ClassificationCode0
Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free ApproachCode0
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language InferenceCode0
FlauBERT: Unsupervised Language Model Pre-training for FrenchCode0
Benchmarking Long-tail Generalization with Likelihood SplitsCode0
Discourse Marker Augmented Network with Reinforcement Learning for Natural Language InferenceCode0
Persian Natural Language Inference: A Meta-learning approachCode0
Flexible Natural Language-Based Image Data Downlink Prioritization for NanosatellitesCode0
Finding Fuzziness in Neural Network Models of Language ProcessingCode0
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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