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 1351–1400 of 1961 papers

TitleStatusHype
Dialogue Natural Language Inference—0
Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification.Code0
UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF)—0
SIRIUS-LTG: An Entity Linking Approach to Fact Extraction and Verification—0
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent NetworksCode0
Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified Sentences—0
A Simple Recurrent Unit with Reduced Tensor Product RepresentationsCode0
Testing the Generalization Power of Neural Network Models Across NLI Benchmarks—0
Learning Distributed Representations of Symbolic Structure Using Binding and Unbinding Operations—0
On Zero-shot Cross-lingual Transfer of Multilingual Neural Machine Translation—0
An Exploration of Dropout with RNNs for Natural Language Inference—0
Training Complex Models with Multi-Task Weak SupervisionCode0
When data permutations are pathological: the case of neural natural language inferenceCode0
Cross-Pair Text Representations for Answer Sentence SelectionCode0
InferLite: Simple Universal Sentence Representations from Natural Language Inference Data—0
Convolutional Interaction Network for Natural Language Inference—0
Phrase-level Self-Attention Networks for Universal Sentence Encoding—0
Structured Alignment Networks for Matching Sentences—0
Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources—0
Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates—0
Revisiting neural relation classification in clinical notes with external informationCode0
Learning Corresponded Rationales for Text Matching—0
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain—0
Answering Science Exam Questions Using Query Rewriting with Background Knowledge—0
XNLI: Evaluating Cross-lingual Sentence RepresentationsCode0
AWE: Asymmetric Word Embedding for Textual Entailment—0
Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag RepresentationsCode0
Cell-aware Stacked LSTMs for Modeling Sentences—0
DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable AttentionCode0
UKP-Athene: Multi-Sentence Textual Entailment for Claim VerificationCode0
What can we learn from Semantic Tagging?—0
Bridging Knowledge Gaps in Neural Entailment via Symbolic Models—0
Sentence Embeddings in NLI with Iterative Refinement EncodersCode0
Adversarially Regularising Neural NLI Models to Integrate Logical Background KnowledgeCode0
Lessons from Natural Language Inference in the Clinical DomainCode0
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference—0
REGMAPR - Text Matching Made Easy—0
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference—0
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim VerificationCode0
Adopting the Word-Pair-Dependency-Triplets with Individual Comparison for Natural Language Inference—0
Scoring and Classifying Implicit Positive Interpretations: A Challenge of Class ImbalanceCode0
WARP-Text: a Web-Based Tool for Annotating Relationships between Pairs of TextsCode0
Embedding WordNet Knowledge for Textual Entailment—0
Towards Coreference for Literary Text: Analyzing Domain-Specific Phenomena—0
Domain Adaptation for Disease Phrase Matching with Adversarial Networks—0
Jack the Reader -- A Machine Reading FrameworkCode0
Variational Inference and Deep Generative Models—0
Connecting Supervised and Unsupervised Sentence Embeddings—0
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search—0
Discovering Implicit Knowledge with Unary RelationsCode0
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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