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
Exploiting Open IE for Deriving Multiple Premises Entailment Corpus—0
Exploiting Qualitative Information from Automatic Word Alignment for Cross-lingual NLP Tasks—0
Emulating the Human Mind: A Neural-symbolic Link Prediction Model with Fast and Slow Reasoning and Filtered Rules—0
Exploiting Timegraphs in Temporal Relation Classification—0
Building an Evaluation Scale using Item Response Theory—0
A Lightweight and High Performance Monolingual Word Aligner—0
Empirical Methods for the Study of Denotation in Nominalizations in Spanish—0
Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction—0
Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference—0
Exploring Lexical, Syntactic, and Semantic Features for Chinese Textual Entailment in NTCIR RITE Evaluation Tasks—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
Exploring the Boundaries of GPT-4 in Radiology—0
Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing—0
Exploring the Influence of Dialog Input Format for Unsupervised Clinical Questionnaire Filling—0
Classifying the reported ability in clinical mobility descriptions—0
AIA-BDE: A Corpus of FAQs in Portuguese and their Variations—0
Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data—0
Exploring the use of word embeddings and random walks on Wikipedia for the CogAlex shared task—0
CLEAR: Contrastive Learning for Sentence Representation—0
CLex: A Lexicon for Exploring Color, Concept and Emotion Associations in Language—0
Expressivity and comparison of models of discourse structure—0
Good, Great, Excellent: Global Inference of Semantic Intensities—0
Argument structure of adverbial derivatives in Russian—0
Extracting Context-Rich Entailment Rules from Wikipedia Revision History—0
Extractive NarrativeQA with Heuristic Pre-Training—0
Graph-based Retrieval for Claim Verification over Cross-Document Evidence—0
Emergent: a novel data-set for stance classification—0
FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking—0
FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference—0
FACTOID: FACtual enTailment fOr hallucInation Detection—0
Factoring Statutory Reasoning as Language Understanding Challenges—0
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback—0
Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations—0
Buildind a Resource of Patterns Using Semantic Types—0
Fake news stance detection using stacked ensemble of classifiers—0
A Dataset for Arabic Textual Entailment—0
Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization—0
Collective Annotation of Linguistic Resources: Basic Principles and a Formal Model—0
FarFetched: An Entity-centric Approach for Reasoning on Textually Represented Environments—0
Embedding WordNet Knowledge for Textual Entailment—0
BUAP: N-gram based Feature Evaluation for the Cross-Lingual Textual Entailment Task—0
Annotation and Analysis of Discourse Relations, Temporal Relations and Multi-Layered Situational Relations in Japanese Texts—0
Global Inference for Bridging Anaphora Resolution—0
Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking—0
FBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter—0
FBK HLT-MT at SemEval-2016 Task 1: Cross-lingual Semantic Similarity Measurement Using Quality Estimation Features and Compositional Bilingual Word Embeddings—0
FBK-TR: SVM for Semantic Relatedeness and Corpus Patterns for RTE—0
FBK-UEdin Participation to the WMT13 Quality Estimation Shared Task—0
Element-wise Bilinear Interaction for Sentence Matching—0
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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