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 701–750 of 1961 papers

TitleStatusHype
A Generative Approach for Mitigating Structural Biases in Natural Language Inference—0
Extracting and filtering paraphrases by bridging natural language inference and paraphrasingCode0
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding—0
Prune Once for All: Sparse Pre-Trained Language Models—0
SERC: Syntactic and Semantic Sequence based Event Relation Classification—0
BERT-DRE: BERT with Deep Recursive Encoder for Natural Language Sentence Matching—0
Detecting Logical Relation In Contract Clauses—0
Talking with the Theorem Prover to Interactively Solve Natural Language Inference—0
Natural Language Inference using Neural Network and Tableau Method—0
Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language InferenceCode1
An in-depth look at Euclidean disk embeddings for structure preserving parsing—0
Few-Shot Intent Classification by Gauging Entailment Relationship Between Utterance and Semantic Label—0
Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning—0
A Fact Checking and Verification System for FEVEROUS Using a Zero-Shot Learning Approach—0
Paraphrasing Compound Nominalizations—0
Q^2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering—0
TabPert : An Effective Platform for Tabular PerturbationCode0
Continual Few-Shot Learning for Text ClassificationCode0
Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction—0
Neural Natural Logic Inference for Interpretable Question AnsweringCode0
Improving Unsupervised Commonsense Reasoning Using Knowledge-Enabled Natural Language Inference—0
Language Clustering for Multilingual Named Entity Recognition—0
Can NLI Models Verify QA Systems’ Predictions?Code1
A Multilingual Benchmark for Probing Negation-Awareness with Minimal PairsCode0
MetaICL: Learning to Learn In ContextCode1
IndoNLI: A Natural Language Inference Dataset for IndonesianCode1
FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference—0
Text Counterfactuals via Latent Optimization and Shapley-Guided SearchCode0
FarFetched: An Entity-centric Approach for Reasoning on Textually Represented Environments—0
Learning-based Memetic Algorithm for Hard-label Textual Attack—0
IMPLI: Investigating NLI Models' Performance on Figurative Language—0
Few-Shot Learning with Siamese Networks and Label Tuning—0
DialogueScript: Using Dialogue Agents to Produce a Script—0
Unsupervised Natural Language Inference Using PHL Triplet GenerationCode0
Semantically Distributed Robust Optimization for Vision-and-Language InferenceCode0
Practical Benefits of Feature Feedback Under Distribution Shift—0
Can Explanations Be Useful for Calibrating Black Box Models?Code1
Order Constraints in Optimal TransportCode2
A Logic-Based Framework for Natural Language Inference in DutchCode0
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP TasksCode1
Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer PerformanceCode0
ContractNLI: A Dataset for Document-level Natural Language Inference for ContractsCode1
Probing Language Models for Understanding of Temporal ExpressionsCode0
Logic Pre-Training of Language Models—0
Curriculum Discovery through an Encompassing Curriculum Learning Framework—0
Marked Attribute Bias in Natural Language InferenceCode0
MINIMAL: Mining Models for Data Free Universal Adversarial TriggersCode0
Finding a Balanced Degree of Automation for Summary EvaluationCode1
Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan LanguagesCode0
Knowledge-Enhanced Evidence Retrieval for Counterargument GenerationCode0
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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