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

Showing 11511200 of 1961 papers

TitleStatusHype
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited DevicesCode0
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding0
Matching Text with Deep Mutual Information Estimation0
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference0
Quantized Neural Network Inference with Precision Batching0
Sparse Sinkhorn AttentionCode0
Stress Test Evaluation of Transformer-based Models in Natural Language Understanding Tasks0
TextNAS: A Neural Architecture Search Space tailored for Text Representation0
Cross-Lingual Ability of Multilingual BERT: An Empirical Study0
FlauBERT: Unsupervised Language Model Pre-training for FrenchCode0
Collecting Entailment Data for Pretraining: New Protocols and Negative Results0
Unsupervised Transfer Learning via BERT Neuron Selection0
Adversarial Analysis of Natural Language Inference Systems0
Semi-supervised Visual Feature Integration for Pre-trained Language Models0
Compositional De-Attention Networks0
Paraphrasing Verbs for Noun Compound Interpretation0
Generating Persona Consistent Dialogues by Exploiting Natural Language InferenceCode0
Increasing Robustness to Spurious Correlations using Forgettable Examples0
Learning to Few-Shot Learn Across Diverse Natural Language Classification TasksCode0
CamemBERT: a Tasty French Language ModelCode0
Multi-Perspective Inferrer: Reasoning Sentences Relationship from Holistic Perspective0
What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning0
Probing Contextualized Sentence Representations with Visual Awareness0
Transformation of Dense and Sparse Text RepresentationsCode0
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks0
Path-Based Contextualization of Knowledge Graphs for Textual Entailment0
Posing Fair Generalization Tasks for Natural Language Inference0
IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis0
Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching0
Asynchronous Deep Interaction Network for Natural Language Inference0
Original Semantics-Oriented Attention and Deep Fusion Network for Sentence Matching0
Evaluating BERT for natural language inference: A case study on the CommitmentBank0
How well do NLI models capture verb veridicality?0
Fine-tune BERT with Sparse Self-Attention Mechanism0
A Comparative Analysis of Unsupervised Language Adaptation Methods0
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling0
Extractive NarrativeQA with Heuristic Pre-Training0
Word-level Textual Adversarial Attacking as Combinatorial OptimizationCode0
Thieves on Sesame Street! Model Extraction of BERT-based APIsCode0
A memory enhanced LSTM for modeling complex temporal dependencies0
Fine-grained Fact Verification with Kernel Graph Attention Network0
Improving Sequence Modeling Ability of Recurrent Neural Networks via SememesCode0
MonaLog: a Lightweight System for Natural Language Inference Based on MonotonicityCode0
Universal Text Representation from BERT: An Empirical Study0
Meemi: A Simple Method for Post-processing and Integrating Cross-lingual Word Embeddings0
Unsupervised Question Answering for Fact-Checking0
In Search for Linear Relations in Sentence Embedding Spaces0
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations0
A CCG-based Compositional Semantics and Inference System for ComparativesCode0
Visually grounded generation of entailments from premises0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UnitedSynT5 (3B)% Test Accuracy94.7Unverified
2UnitedSynT5 (335M)% Test Accuracy93.5Unverified
3EFL (Entailment as Few-shot Learner) + RoBERTa-large% Test Accuracy93.1Unverified
4Neural Tree Indexers for Text Understanding% Test Accuracy93.1Unverified
5RoBERTa-large+Self-Explaining% Test Accuracy92.3Unverified
6RoBERTa-large + self-explaining layer% Test Accuracy92.3Unverified
7CA-MTL% Test Accuracy92.1Unverified
8SemBERT% Test Accuracy91.9Unverified
9MT-DNN-SMARTLARGEv0% Test Accuracy91.7Unverified
10MT-DNN-SMART_100%ofTrainingDataDev Accuracy91.6Unverified
#ModelMetricClaimedVerifiedStatus
1Vega v2 6B (KD-based prompt transfer)Accuracy96Unverified
2PaLM 540B (fine-tuned)Accuracy95.7Unverified
3Turing NLR v5 XXL 5.4B (fine-tuned)Accuracy94.1Unverified
4ST-MoE-32B 269B (fine-tuned)Accuracy93.5Unverified
5DeBERTa-1.5BAccuracy93.2Unverified
6MUPPET Roberta LargeAccuracy92.8Unverified
7DeBERTaV3largeAccuracy92.7Unverified
8T5-XXL 11BAccuracy92.5Unverified
9T5-XXL 11B (fine-tuned)Accuracy92.5Unverified
10ST-MoE-L 4.1B (fine-tuned)Accuracy92.1Unverified
#ModelMetricClaimedVerifiedStatus
1UnitedSynT5 (3B)Matched92.6Unverified
2Turing NLR v5 XXL 5.4B (fine-tuned)Matched92.6Unverified
3T5-XXL 11B (fine-tuned)Matched92Unverified
4T5Matched92Unverified
5T5-11BMismatched91.7Unverified
6T5-3BMatched91.4Unverified
7ALBERTMatched91.3Unverified
8DeBERTa (large)Matched91.1Unverified
9Adv-RoBERTa ensembleMatched91.1Unverified
10SMARTRoBERTaDev Matched91.1Unverified