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 1401–1450 of 1961 papers

TitleStatusHype
KNSE: A Knowledge-aware Natural Language Inference Framework for Dialogue Symptom Status Recognition—0
KU\_ai at MEDIQA 2019: Domain-specific Pre-training and Transfer Learning for Medical NLI—0
Labeled Alignment for Recognizing Textual Entailment—0
Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction—0
Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction—0
LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching—0
Language Clustering for Multilingual Named Entity Recognition—0
Language Model Analysis for Ontology Subsumption Inference—0
Language Models as a Knowledge Source for Cognitive Agents—0
LanSER: Language-Model Supported Speech Emotion Recognition—0
LAPDoc: Layout-Aware Prompting for Documents—0
Prompting Large Language Models for Counterfactual Generation: An Empirical Study—0
Large Language Models Can Self-Improve—0
Large language models in healthcare and medical domain: A review—0
Large-Scale Acquisition of Entailment Pattern Pairs by Exploiting Transitivity—0
Large-Scale Paraphrasing for Natural Language Understanding—0
LasigeBioTM at MEDIQA 2019: Biomedical Question Answering using Bidirectional Transformers and Named Entity Recognition—0
Latent Structure Models for Natural Language Processing—0
LawngNLI: a multigranular, long-premise NLI benchmark for evaluating models’ in-domain generalization from short to long contexts—0
LCT-MALTA's Submission to RepEval 2017 Shared Task—0
Learning-based Memetic Algorithm for Hard-label Textual Attack—0
BURT: BERT-inspired Universal Representation from Twin Structure—0
Learning beyond datasets: Knowledge Graph Augmented Neural Networks for Natural language Processing—0
Learning Compact Lexicons for CCG Semantic Parsing—0
Learning Contextualized Knowledge Graph Structures for Commonsense Reasoning—0
Learning Corresponded Rationales for Text Matching—0
Learning Distributed Representations of Symbolic Structure Using Binding and Unbinding Operations—0
Learning Entailment-Based Sentence Embeddings from Natural Language Inference—0
Learning Entailment Relations by Global Graph Structure Optimization—0
Learning Homographic Disambiguation Representation for Neural Machine Translation—0
Learning Paraphrasing for Multiword Expressions—0
Learning Semantic Textual Similarity with Structural Representations—0
Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations—0
Learning To Avoid Negative Transfer in Few Shot Transfer Learning—0
Learning to Compute Word Embeddings On the Fly—0
Learning to Generate Examples for Semantic Processing Tasks—0
Learning to Make Inferences in a Semantic Parsing Task—0
Learning to Predict Denotational Probabilities For Modeling Entailment—0
Learning to Reason With Adaptive Computation—0
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching—0
Learning To Use Formulas To Solve Simple Arithmetic Problems—0
Learning to Write with Coherence From Negative Examples—0
Learning Verb Inference Rules from Linguistically-Motivated Evidence—0
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision—0
Lessons from the Use of Natural Language Inference (NLI) in Requirements Engineering Tasks—0
Leveraging Semantic Representations Combined with Contextual Word Representations for Recognizing Textual Entailment in Vietnamese—0
Lexical Event Ordering with an Edge-Factored Model—0
Lexical-Morphological Modeling for Legal Text Analysis—0
Lexical Substitution for Evaluating Compositional Distributional Models—0
Lexical Substitution for the Medical Domain—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