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 651–700 of 1961 papers

TitleStatusHype
ESNLIR: A Spanish Multi-Genre Dataset with Causal Relationships—0
English Resource Semantics—0
Estimation of Discourse Segmentation Labels from Crowd Data—0
Capturing Label Distribution: A Case Study in NLI—0
Building Japanese Textual Entailment Specialized Data Sets for Inference of Basic Sentence Relations—0
Evaluating and Modeling Attribution for Cross-Lingual Question Answering—0
Evaluating BERT for natural language inference: A case study on the CommitmentBank—0
CASE 2021 Task 2: Zero-Shot Classification of Fine-Grained Sociopolitical Events with Transformer Models—0
English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts—0
Evaluating Compound Splitters Extrinsically with Textual Entailment—0
English-Basque Statistical and Neural Machine Translation—0
Causal Transformers: Improving the Robustness on Spurious Correlations—0
Building Japanese Predicate-argument Structure Corpus using Lexical Conceptual Structure—0
A Note on Argumentative Topology: Circularity and Syllogisms as Unsolved Problems—0
Encoding Generalized Quantifiers in Dependency-based Compositional Semantics—0
An Optimal Quadratic Approach to Monolingual Paraphrase Alignment—0
Evaluating language understanding accuracy with respect to objective outcomes in a dialogue system—0
Evaluating Large Language Models Using Contrast Sets: An Experimental Approach—0
Enacting textual entailment and ontologies for automated essay grading in chemical domain—0
Evaluating Paraphrastic Robustness in Textual Entailment Models—0
Enabling Transitivity for Lexical Inference on Chinese Verbs Using Probabilistic Soft Logic—0
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks—0
Cell-aware Stacked LSTMs for Modeling Sentences—0
Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser—0
First steps towards a Predicate Matrix—0
A Probabilistic Lexical Model for Ranking Textual Inferences—0
Evaluation for Partial Event Coreference—0
Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP Tasks—0
Emulating the Human Mind: A Neural-symbolic Link Prediction Model with Fast and Slow Reasoning and Filtered Rules—0
Building an Evaluation Scale using Item Response Theory—0
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference—0
Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web—0
Empirical Methods for the Study of Denotation in Nominalizations in Spanish—0
Case-Based Abductive Natural Language Inference—0
Explainable Procedural Mistake Detection—0
Explaining and Improving Model Behavior with k Nearest Neighbor Representations—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
AIA-BDE: A Corpus of FAQs in Portuguese and their Variations—0
Explaining Mixtures of Sources in News Articles—0
Explaining Predictive Uncertainty by Looking Back at Model Explanations—0
ChatGPT as a Factual Inconsistency Evaluator for Text Summarization—0
Explanation based Bias Decoupling Regularization for Natural Language Inference—0
ChatGPT-Crawler: Find out if ChatGPT really knows what it's talking about—0
First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLI—0
From Textual Entailment to Knowledgeable Machines—0
Emergent: a novel data-set for stance classification—0
Buildind a Resource of Patterns Using Semantic Types—0
Exploiting Image Generality for Lexical Entailment Detection—0
A Dataset for Arabic Textual Entailment—0
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All datasetsSNLIRTEMultiNLIQNLIANLI testWNLILiDiRusRCBTERRaCommitmentBankSciTailFarsTail

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UnitedSynT5 (3B)% Test Accuracy94.7—Unverified
2UnitedSynT5 (335M)% Test Accuracy93.5—Unverified
3Neural Tree Indexers for Text Understanding% Test Accuracy93.1—Unverified
4EFL (Entailment as Few-shot Learner) + RoBERTa-large% 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 11B (fine-tuned)Accuracy92.5—Unverified
9T5-XXL 11BAccuracy92.5—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
8Adv-RoBERTa ensembleMatched91.1—Unverified
9DeBERTa (large)Matched91.1—Unverified
10SMARTRoBERTaDev Matched91.1—Unverified