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 901–950 of 1961 papers

TitleStatusHype
Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference—0
Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response GenerationCode0
SICKNL: A Dataset for Dutch Natural Language InferenceCode0
I-BERT: Integer-only BERT QuantizationCode2
Attentive Tree-structured Network for Monotonicity Reasoning—0
BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in BanglaCode1
Data-aware Low-Rank Compression for Large NLP Models—0
Parameterization of Hypercomplex Multiplications—0
XLA: A Robust Unsupervised Data Augmentation Framework for Cross-Lingual NLP—0
Feedforward Legendre Memory Unit—0
Learning Contextualized Knowledge Graph Structures for Commonsense Reasoning—0
Universal Sentence Representations Learning with Conditional Masked Language Model—0
Using Natural Language Relations between Answer Choices for Machine ComprehensionCode0
CLEAR: Contrastive Learning for Sentence Representation—0
UnNatural Language InferenceCode1
Out of Order: How Important Is The Sequential Order of Words in a Sentence in Natural Language Understanding Tasks?—0
Universal Sentence Representation Learning with Conditional Masked Language Model—0
SG-Net: Syntax Guided Transformer for Language Representation—0
To what extent do human explanations of model behavior align with actual model behavior?—0
Undivided Attention: Are Intermediate Layers Necessary for BERT?—0
RealFormer: Transformer Likes Residual AttentionCode1
MASKER: Masked Keyword Regularization for Reliable Text ClassificationCode1
LIREx: Augmenting Language Inference with Relevant ExplanationCode0
ParsiNLU: A Suite of Language Understanding Challenges for PersianCode1
Looking Beyond Short-Premise Natural Language Inference for Downstream Tasks—0
Self-Explaining Structures Improve NLP ModelsCode1
Exploiting BERT to improve aspect-based sentiment analysis performance on Persian languageCode0
News Aggregation with Diverse Viewpoint Identification Using Neural Embeddings and Semantic Understanding Models—0
Hy-NLI: a Hybrid system for Natural Language InferenceCode0
Knowledge-Enhanced Natural Language Inference Based on Knowledge Graphs—0
XplaiNLI: Explainable Natural Language Inference through Visual Analytics—0
Enhancing Clinical BERT Embedding using a Biomedical Knowledge BaseCode1
A guide to the dataset explosion in QA, NLI, and commonsense reasoning—0
From Hero to Z\'eroe: A Benchmark of Low-Level Adversarial AttacksCode1
Towards a Task-Agnostic Model of Difficulty Estimation for Supervised Learning TasksCode0
Two-Step Classification using Recasted Data for Low Resource SettingsCode1
Improving Medical NLI Using Context-Aware Domain Knowledge—0
SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment—0
Reading Comprehension as Natural Language Inference:A Semantic Analysis—0
Meta-Embeddings for Natural Language Inference and Semantic Similarity tasks—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
Natural Language Inference in Context -- Investigating Contextual Reasoning over Long TextsCode1
Medical Knowledge-enriched Textual Entailment Framework—0
Learning to Model and Ignore Dataset Bias with Mixed Capacity EnsemblesCode0
Combining Event Semantics and Degree Semantics for Natural Language InferenceCode1
IITP-AI-NLP-ML@ CL-SciSumm 2020, CL-LaySumm 2020, LongSumm 2020—0
Detecting Entailment in Code-Mixed Hindi-English ConversationsCode0
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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