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 1351–1400 of 1961 papers

TitleStatusHype
Improving Unsupervised Commonsense Reasoning Using Knowledge-Enabled Natural Language Inference—0
Improving Zero-shot Relation Classification via Automatically-acquired Entailment Templates—0
Inclusive yet Selective: Supervised Distributional Hypernymy Detection—0
In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning—0
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling—0
IndoWordnet Visualizer: A Graphical User Interface for Browsing and Exploring Wordnets of Indian Languages—0
Inducing Example-based Semantic Frames from a Massive Amount of Verb Uses—0
Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework—0
InferLite: Simple Universal Sentence Representations from Natural Language Inference Data—0
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks—0
Inherent Disagreements in Human Textual Inferences—0
In Search for Linear Relations in Sentence Embedding Spaces—0
Instruction Finetuning for Leaderboard Generation from Empirical AI Research—0
Integer Linear Programming formulations in Natural Language Processing—0
Semi-supervised Visual Feature Integration for Pre-trained Language Models—0
Integrating Entity Linking and Evidence Ranking for Fact Extraction and Verification—0
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations—0
Interactive Model with Structural Loss for Language-based Abductive Reasoning—0
Interpretation of NLP models through input marginalization—0
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference—0
Interventional Probing in High Dimensions: An NLI Case Study—0
Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems—0
Inter-Weighted Alignment Network for Sentence Pair Modeling—0
Introducing Verification Task of Set Consistency with Set-Consistency Energy Networks—0
Investigating Biases in Textual Entailment Datasets—0
IRM---when it works and when it doesn't: A test case of natural language inference—0
IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models—0
Is a 204 cm Man Tall or Small ? Acquisition of Numerical Common Sense from the Web—0
Is “My Favorite New Movie” My Favorite Movie? Probing the Understanding of Recursive Noun Phrases—0
Is the Stanford Dependency Representation Semantic?—0
ITNLP-ARC at SemEval-2018 Task 12: Argument Reasoning Comprehension with Attention—0
Towards Improving Selective Prediction Ability of NLP Systems—0
JAIST: Combining multiple features for Answer Selection in Community Question Answering—0
JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset—0
janardhan: Semantic Textual Similarity using Universal Networking Language graph matching—0
Japanese Realistic Textual Entailment Corpus—0
JoBimText Visualizer: A Graph-based Approach to Contextualizing Distributional Similarity—0
Joint Apposition Extraction with Syntactic and Semantic Constraints—0
Jointly Learning Sentence Embeddings and Syntax with Unsupervised Tree-LSTMs—0
Joint Training with Semantic Role Labeling for Better Generalization in Natural Language Inference—0
JU\_CSE\_NLP: Language Independent Cross-lingual Textual Entailment System—0
JUNLP at SemEval-2016 Task 13: A Language Independent Approach for Hypernym Identification—0
JU\_NLP at SemEval-2016 Task 6: Detecting Stance in Tweets using Support Vector Machines—0
KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference—0
Fine-grained Fact Verification with Kernel Graph Attention Network—0
KIT-Multi: A Translation-Oriented Multilingual Embedding Corpus—0
Knowledge Enhanced Attention for Robust Natural Language Inference—0
Knowledge-Enhanced Natural Language Inference Based on Knowledge Graphs—0
Knowledge Graphs for Multilingual Language Translation and Generation—0
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models—0
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All datasetsSNLIRTEMultiNLIQNLIANLI testWNLILiDiRusRCBTERRaCommitmentBankSciTailFarsTail

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