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 501–550 of 1961 papers

TitleStatusHype
Detecting Semantic Equivalence and Information Disparity in Cross-lingual Documents—0
Detecting Stance in Tweets And Analyzing its Interaction with Sentiment—0
Balanced Adversarial Training: Balancing Tradeoffs Between Oversensitivity and Undersensitivity in NLP Models—0
Detecting Subevent Structure for Event Coreference Resolution—0
Determining is-a relationships for Textual Entailment—0
Developing a Reliable, Fast, General-Purpose Hallucination Detection and Mitigation Service—0
CoMeT: Integrating different levels of linguistic modeling for meaning assessment—0
DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training—0
Dialogue Natural Language Inference—0
DialogueScore: Evaluating Responses in Task-Oriented Dialogue—0
A Linguistic Investigation of Machine Learning based Contradiction Detection Models: An Empirical Analysis and Future Perspectives—0
Combining Word Patterns and Discourse Markers for Paradigmatic Relation Classification—0
Combining Textual Entailment and Argumentation Theory for Supporting Online Debates Interactions—0
A Search Task Dataset for German Textual Entailment—0
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference—0
ASAP-II: From the Alignment of Phrases to Textual Similarity—0
Combining Natural Logic and Shallow Reasoning for Question Answering—0
Entailment Relation Aware Paraphrase Generation—0
A Deep Transfer Learning Method for Cross-Lingual Natural Language Inference—0
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction—0
ASAP: Automatic Semantic Alignment for Phrases—0
Collective Annotation of Linguistic Resources: Basic Principles and a Formal Model—0
Alignment Rationale for Natural Language Inference—0
Collecting Entailment Data for Pretraining: New Protocols and Negative Results—0
ARS\_NITK at MEDIQA 2019:Analysing Various Methods for Natural Language Inference, Recognising Question Entailment and Medical Question Answering System—0
A Comparative Analysis of Unsupervised Language Adaptation Methods—0
EoANN: Lexical Semantic Relation Classification Using an Ensemble of Artificial Neural Networks—0
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation—0
Collaboration is all you need: LLM Assisted Safe Code Translation—0
Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models—0
Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory—0
A deep Natural Language Inference predictor without language-specific training data—0
Towards Building Efficient Sentence BERT Models using Layer Pruning—0
ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer—0
Argument structure of adverbial derivatives in Russian—0
CLex: A Lexicon for Exploring Color, Concept and Emotion Associations in Language—0
CLEAR: Contrastive Learning for Sentence Representation—0
Argument Novelty and Validity Assessment via Multitask and Transfer Learning—0
Aligning Predicate-Argument Structures for Paraphrase Fragment Extraction—0
Entailment-based Text Exploration with Application to the Health-care Domain—0
CLATTER: Comprehensive Entailment Reasoning for Hallucination Detection—0
Classifying the reported ability in clinical mobility descriptions—0
A review corpus annotated for negation, speculation and their scope—0
Classification and Acquisition of Contradictory Event Pairs using Crowdsourcing—0
Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs—0
Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity—0
CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity—0
A Deep Generative XAI Framework for Natural Language Inference Explanations Generation—0
A Lightweight and High Performance Monolingual Word Aligner—0
A Combined Pattern-based and Distributional Approach for Automatic Hypernym Detection in Dutch.—0
Show:102550
← PrevPage 11 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