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 951–1000 of 1961 papers

TitleStatusHype
Optimizing Word Segmentation for Downstream TaskCode1
Thinking Like a Skeptic: Defeasible Inference in Natural LanguageCode1
Temporal Reasoning in Natural Language InferenceCode0
Service-oriented Text-to-SQL Parsing—0
Enhancing Generalization in Natural Language Inference by SyntaxCode0
Hybrid Emoji-Based Masked Language Models for Zero-Shot Abusive Language Detection—0
An Analysis of Natural Language Inference Benchmarks through the Lens of Negation—0
Compositional Phrase Alignment and Beyond—0
Aspectuality Across Genre: A Distributional Semantics Approach—0
Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification—0
RussianSuperGLUE: A Russian Language Understanding Evaluation BenchmarkCode1
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated PromptsCode1
Learning as Abduction: Trainable Natural Logic Theorem Prover for Natural Language InferenceCode1
Interpretation of NLP models through input marginalization—0
A Statistical Framework for Low-bitwidth Training of Deep Neural NetworksCode1
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language InferenceCode1
ANLIzing the Adversarial Natural Language Inference Dataset—0
Temporal Reasoning on Implicit Events from Distant Supervision—0
Measuring Association Between Labels and Free-Text RationalesCode1
Learning Contextualized Knowledge Structures for Commonsense ReasoningCode1
Exploiting News Article Structure for Automatic Corpus Generation of Entailment DatasetsCode1
Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models—0
mT5: A massively multilingual pre-trained text-to-text transformerCode1
Probing and Fine-tuning Reading Comprehension Models for Few-shot Event Extraction—0
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From CharactersCode1
Natural Language Inference with Mixed EffectsCode0
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System MetathesaurusCode1
ConjNLI: Natural Language Inference Over Conjunctive SentencesCode1
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report GenerationCode1
Explaining and Improving Model Behavior with k Nearest Neighbor Representations—0
Hierarchical Multitask Learning Approach for BERT—0
Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive LearningCode0
Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark—0
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense GraphsCode1
Does Chinese BERT Encode Word Structure?Code0
Asking Crowdworkers to Write Entailment Examples: The Best of Bad OptionsCode0
Cross-Modal BERT for Text-Audio Sentiment AnalysisCode1
The Extraordinary Failure of Complement Coercion Crowdsourcing—0
From Hero to Zéroe: A Benchmark of Low-Level Adversarial AttacksCode1
OCNLI: Original Chinese Natural Language InferenceCode1
Evaluating Factuality in Generation with Dependency-level EntailmentCode1
Social Commonsense Reasoning with Multi-Head Knowledge AttentionCode1
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented DataCode0
Discriminatively-Tuned Generative Classifiers for Robust Natural Language InferenceCode0
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language InferenceCode0
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks—0
Cross-Thought for Sentence Encoder Pre-trainingCode1
What Can We Learn from Collective Human Opinions on Natural Language Inference Data?Code1
Poison Attacks against Text Datasets with Conditional Adversarially Regularized AutoencoderCode1
A Survey on Recognizing Textual Entailment as an NLP Evaluation—0
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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