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 1051–1100 of 1961 papers

TitleStatusHype
Hy-NLI: a Hybrid system for Natural Language InferenceCode0
SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment—0
Reading Comprehension as Natural Language Inference:A Semantic Analysis—0
News Aggregation with Diverse Viewpoint Identification Using Neural Embeddings and Semantic Understanding Models—0
Towards a Task-Agnostic Model of Difficulty Estimation for Supervised Learning TasksCode0
Improving Medical NLI Using Context-Aware Domain Knowledge—0
XplaiNLI: Explainable Natural Language Inference through Visual Analytics—0
A guide to the dataset explosion in QA, NLI, and commonsense reasoning—0
Knowledge-Enhanced Natural Language Inference Based on Knowledge Graphs—0
Two Stage Transformer Model for COVID-19 Fake News Detection and Fact CheckingCode0
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language InferenceCode0
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural NetworksCode0
Attention Mechanism, Transformers, BERT, and GPT: Tutorial and Survey—0
Medical Knowledge-enriched Textual Entailment Framework—0
Learning to Model and Ignore Dataset Bias with Mixed Capacity EnsemblesCode0
Compositional Phrase Alignment and Beyond—0
An Analysis of Natural Language Inference Benchmarks through the Lens of Negation—0
Enhancing Generalization in Natural Language Inference by SyntaxCode0
Detecting Entailment in Code-Mixed Hindi-English ConversationsCode0
Hybrid Emoji-Based Masked Language Models for Zero-Shot Abusive Language Detection—0
IITP-AI-NLP-ML@ CL-SciSumm 2020, CL-LaySumm 2020, LongSumm 2020—0
Service-oriented Text-to-SQL Parsing—0
Temporal Reasoning in Natural Language InferenceCode0
Aspectuality Across Genre: A Distributional Semantics Approach—0
Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification—0
Interpretation of NLP models through input marginalization—0
Temporal Reasoning on Implicit Events from Distant Supervision—0
ANLIzing the Adversarial Natural Language Inference Dataset—0
Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models—0
Probing and Fine-tuning Reading Comprehension Models for Few-shot Event Extraction—0
Natural Language Inference with Mixed EffectsCode0
Explaining and Improving Model Behavior with k Nearest Neighbor Representations—0
Hierarchical Multitask Learning Approach for BERT—0
Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive LearningCode0
Does Chinese BERT Encode Word Structure?Code0
Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark—0
Asking Crowdworkers to Write Entailment Examples: The Best of Bad OptionsCode0
The Extraordinary Failure of Complement Coercion Crowdsourcing—0
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented DataCode0
Discriminatively-Tuned Generative Classifiers for Robust Natural Language InferenceCode0
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language InferenceCode0
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks—0
A Survey on Recognizing Textual Entailment as an NLP Evaluation—0
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous SpaceCode0
Reading Comprehension as Natural Language Inference: A Semantic Analysis—0
Understanding tables with intermediate pre-training—0
Case-Based Abductive Natural Language Inference—0
Context-theoretic Semantics for Natural Language: an Algebraic Framework—0
Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations—0
Looking Beyond Sentence-Level Natural Language Inference for Downstream Tasks—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