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 601–650 of 1961 papers

TitleStatusHype
Answering Science Exam Questions Using Query Rewriting with Background Knowledge—0
蘊涵句型分析於改進中文文字蘊涵識別系統 (Entailment Analysis for Improving Chinese Recognizing Textual Entailment System) [In Chinese]—0
A Joint Training Framework for Open-World Knowledge Graph Embeddings—0
Can Explanations Be Useful for Calibrating Black Box Models?—0
ENIAM: Categorial Syntactic-Semantic Parser for Polish—0
Answer Extraction for Why Arabic Questions Answering Systems: EWAQ—0
FBK: Cross-Lingual Textual Entailment Without Translation—0
An Overview Of Temporal Commonsense Reasoning and Acquisition—0
A Case Study Towards Turkish Paraphrase Alignment—0
Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization—0
Fake news stance detection using stacked ensemble of classifiers—0
Adding Semantics to Data-Driven Paraphrasing—0
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback—0
FarFetched: An Entity-centric Approach for Reasoning on Textually Represented Environments—0
FBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter—0
AI-KU: Using Co-Occurrence Modeling for Semantic Similarity—0
Adding Context to Semantic Data-Driven Paraphrasing—0
Calibrating Likelihoods towards Consistency in Summarization Models—0
FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference—0
English Resource Semantics—0
Building Japanese Textual Entailment Specialized Data Sets for Inference of Basic Sentence Relations—0
English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts—0
English-Basque Statistical and Neural Machine Translation—0
Building Japanese Predicate-argument Structure Corpus using Lexical Conceptual Structure—0
An overview of Natural Language Inference Data Collection: The way forward?—0
Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations—0
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference—0
Can Crowdsourcing be used for Effective Annotation of Arabic?—0
Enhancing SLM via ChatGPT and Dataset Augmentation—0
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic—0
A Note on Argumentative Topology: Circularity and Syllogisms as Unsolved Problems—0
FACTOID: FACtual enTailment fOr hallucInation Detection—0
Encoding Generalized Quantifiers in Dependency-based Compositional Semantics—0
EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion—0
An Optimal Quadratic Approach to Monolingual Paraphrase Alignment—0
Enacting textual entailment and ontologies for automated essay grading in chemical domain—0
Entailment-based Text Exploration with Application to the Health-care Domain—0
Entailment Graph Learning with Textual Entailment and Soft Transitivity—0
Enabling Transitivity for Lexical Inference on Chinese Verbs Using Probabilistic Soft Logic—0
Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser—0
Emulating the Human Mind: A Neural-symbolic Link Prediction Model with Fast and Slow Reasoning and Filtered Rules—0
EoANN: Lexical Semantic Relation Classification Using an Ensemble of Artificial Neural Networks—0
Building an Evaluation Scale using Item Response Theory—0
EPA: Easy Prompt Augmentation on Large Language Models via Multiple Sources and Multiple Targets—0
Empirical Methods for the Study of Denotation in Nominalizations in Spanish—0
Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models—0
Annotation Artifacts in Natural Language Inference Data—0
ERNIE-NLI: Analyzing the Impact of Domain-Specific External Knowledge on Enhanced Representations for NLI—0
ESCRITO - An NLP-Enhanced Educational Scoring Toolkit—0
AIA-BDE: A Corpus of FAQs in Portuguese and their Variations—0
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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