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 1701–1750 of 1961 papers

TitleStatusHype
Improved CCG Parsing with Semi-supervised Supertagging—0
Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting—0
Improved Representation Learning for Question Answer Matching—0
Improved Sentence Modeling using Suffix Bidirectional LSTM—0
Improving Composition of Sentence Embeddings through the Lens of Statistical Relational Learning—0
Improving Distantly Supervised Document-Level Relation Extraction Through Natural Language Inference—0
Improving Distantly Supervised Relation Extraction by Natural Language Inference—0
Improving Domain-Specific Retrieval by NLI Fine-Tuning—0
Improving Generalization by Incorporating Coverage in Natural Language Inference—0
Improving Implicit Discourse Relation Recognition Through Feature Set Optimization—0
Improving Medical NLI Using Context-Aware Domain Knowledge—0
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding—0
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain—0
Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation—0
Improving the Natural Language Inference robustness to hard dataset by data augmentation and preprocessing—0
Improving the Out-Of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough—0
Improving the Precision of Natural Textual Entailment Problem Datasets—0
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
Show:102550
← PrevPage 35 of 40Next →
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