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 1501–1550 of 1961 papers

TitleStatusHype
Figurative Language in Recognizing Textual EntailmentCode0
Fill the GAP: Exploiting BERT for Pronoun ResolutionCode0
Natural Language Inference over Interaction SpaceCode0
Cross-Pair Text Representations for Answer Sentence SelectionCode0
Explaining Simple Natural Language InferenceCode0
Finding Fuzziness in Neural Network Models of Language ProcessingCode0
Fine-grained Entailment: Resources for Greek NLI and Precise EntailmentCode0
Fine-Grained Natural Language Inference Based Faithfulness Evaluation for Diverse Summarisation TasksCode0
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP ModelsCode0
Supervising Model Attention with Human Explanations for Robust Natural Language InferenceCode0
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group MasksCode0
Translation Artifacts in Cross-lingual Transfer LearningCode0
Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial ReportsCode0
Sentence Embeddings in NLI with Iterative Refinement EncodersCode0
FlauBERT: Unsupervised Language Model Pre-training for FrenchCode0
Flexible Natural Language-Based Image Data Downlink Prioritization for NanosatellitesCode0
Explaining Interactions Between Text SpansCode0
Example-based Hypernetworks for Out-of-Distribution GeneralizationCode0
Natural Language Inference with Mixed EffectsCode0
Second-Order Word Embeddings from Nearest Neighbor Topological FeaturesCode0
Forget NLI, Use a Dictionary: Zero-Shot Topic Classification for Low-Resource Languages with Application to LuxembourgishCode0
Seed-Guided Fine-Grained Entity Typing in Science and Engineering DomainsCode0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
Elastic weight consolidation for better bias inoculationCode0
Cross-Lingual Retrieval Augmented Prompt for Low-Resource LanguagesCode0
From Alignment to Entailment: A Unified Textual Entailment Framework for Entity AlignmentCode0
Evaluating the Robustness of Discrete PromptsCode0
Evaluating the Effectiveness of Natural Language Inference for Hate Speech Detection in Languages with Limited Labeled DataCode0
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language InferenceCode0
From Key Points to Key Point Hierarchy: Structured and Expressive Opinion SummarizationCode0
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched TextCode0
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label ClassificationCode0
"Seeing the Big through the Small": Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?Code0
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples GenerationCode0
From Text to Context: An Entailment Approach for News Stakeholder ClassificationCode0
Counterfactual Maximum Likelihood Estimation for Training Deep NetworksCode0
Self-Consistent Narrative Prompts on Abductive Natural Language InferenceCode0
FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical DomainCode0
Automated Long Answer Grading with RiceChem DatasetCode0
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasksCode0
Neural Associative Memory for Dual-Sequence ModelingCode0
XNLIeu: a dataset for cross-lingual NLI in BasqueCode0
Semantically Distributed Robust Optimization for Vision-and-Language InferenceCode0
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented DataCode0
Generating Data to Mitigate Spurious Correlations in Natural Language Inference DatasetsCode0
Neural models for Factual Inconsistency Classification with ExplanationsCode0
Evaluating Generative Language Models in Information Extraction as Subjective Question CorrectionCode0
Generating Natural Adversarial ExamplesCode0
Generating Natural Language Adversarial ExamplesCode0
Neural Natural Language Inference Models Enhanced with External KnowledgeCode0
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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