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 1801–1850 of 1961 papers

TitleStatusHype
Learning To Avoid Negative Transfer in Few Shot Transfer Learning—0
Learning to Compute Word Embeddings On the Fly—0
Learning to Generate Examples for Semantic Processing Tasks—0
Learning to Make Inferences in a Semantic Parsing Task—0
Learning to Predict Denotational Probabilities For Modeling Entailment—0
Learning to Reason With Adaptive Computation—0
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching—0
Learning To Use Formulas To Solve Simple Arithmetic Problems—0
Learning to Write with Coherence From Negative Examples—0
Learning Verb Inference Rules from Linguistically-Motivated Evidence—0
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision—0
Lessons from the Use of Natural Language Inference (NLI) in Requirements Engineering Tasks—0
Leveraging Semantic Representations Combined with Contextual Word Representations for Recognizing Textual Entailment in Vietnamese—0
Lexical Event Ordering with an Edge-Factored Model—0
Lexical-Morphological Modeling for Legal Text Analysis—0
Lexical Substitution for Evaluating Compositional Distributional Models—0
Lexical Substitution for the Medical Domain—0
LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning—0
Lifting the Curse of Multilinguality by Pre-training Modular Transformers—0
Lifting the Curse of Multilinguality by Pre-training Modular Transformers—0
Light Textual Inference for Semantic Parsing—0
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013—0
LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features—0
Literal, Metphorical or Both? Detecting Metaphoricity in Isolated Adjective-Noun Phrases—0
Local and Global Context for Supervised and Unsupervised Metonymy Resolution—0
Locality Preserving Loss: Neighbors that Live together, Align together—0
Logical Semantics, Dialogical Argumentation, and Textual Entailment—0
Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification—0
Logic, Language, and Calculus—0
Logic Pre-Training of Language Models—0
Logic Programs vs. First-Order Formulas in Textual Inference—0
Logographic Information Aids Learning Better Representations for Natural Language Inference—0
LoNLI: An Extensible Framework for Testing Diverse Logical Reasoning Capabilities for NLI—0
Looking Beyond Sentence-Level Natural Language Inference for Downstream Tasks—0
Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization—0
Looking Beyond Short-Premise Natural Language Inference for Downstream Tasks—0
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences—0
Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models—0
LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification—0
Machine and Deep Learning Methods with Manual and Automatic Labelling for News Classification in Bangla Language—0
Machine Comprehension using Rich Semantic Representations—0
Machine Translation Evaluation Resources and Methods: A Survey—0
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations—0
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection—0
Mandarinograd: A Chinese Collection of Winograd Schemas—0
MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders—0
Mapping Texts to Scripts: An Entailment Study—0
Matching Text with Deep Mutual Information Estimation—0
Match without a Referee: Evaluating MT Adequacy without Reference Translations—0
Max-Cosine Matching Based Neural Models for Recognizing Textual Entailment—0
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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