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 801–850 of 1961 papers

TitleStatusHype
The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding—0
Trusting RoBERTa over BERT: Insights from CheckListing the Natural Language Inference TaskCode1
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched TextCode0
Transfer Learning for Improving Results on Russian Sentiment DatasetsCode0
Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems—0
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin InformationCode1
Charformer: Fast Character Transformers via Gradient-based Subword TokenizationCode1
A Joint Training Framework for Open-World Knowledge Graph Embeddings—0
DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceCode1
CBLUE: A Chinese Biomedical Language Understanding Evaluation BenchmarkCode1
SSMix: Saliency-Based Span Mixup for Text ClassificationCode1
Probing Pre-Trained Language Models for Disease KnowledgeCode0
BioELECTRA:Pretrained Biomedical text Encoder using DiscriminatorsCode1
Modeling Hierarchical Structures with Continuous Recursive Neural NetworksCode1
Variational Information Bottleneck for Effective Low-Resource Fine-TuningCode1
Counterfactual Maximum Likelihood Estimation for Training Deep NetworksCode0
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language InferenceCode1
Embracing Ambiguity: Shifting the Training Target of NLI ModelsCode0
Causal Abstractions of Neural NetworksCode0
Empowering Language Understanding with Counterfactual ReasoningCode1
Meaning Representation of Numeric Fused-Heads in UCCA—0
Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot ConsistencyCode1
Language Embeddings for Typology and Cross-lingual Transfer LearningCode0
Reordering Examples Helps during Priming-based Few-Shot LearningCode0
Figurative Language in Recognizing Textual EntailmentCode0
MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical DomainCode0
ERNIE-NLI: Analyzing the Impact of Domain-Specific External Knowledge on Enhanced Representations for NLI—0
Translate and Classify: Improving Sequence Level Classification for English-Hindi Code-Mixed DataCode0
Identifying inherent disagreement in natural language inferenceCode0
``I'm Not Mad'': Commonsense Implications of Negation and Contradiction—0
Discovering Better Model Architectures for Medical Query Understanding—0
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names—0
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index—0
Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization—0
DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference—0
CIDER: Commonsense Inference for Dialogue Explanation and ReasoningCode1
NeuralLog: Natural Language Inference with Joint Neural and Logical ReasoningCode1
SciFive: a text-to-text transformer model for biomedical literatureCode1
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat ViolenceCode1
PTR: Prompt Tuning with Rules for Text ClassificationCode1
KLUE: Korean Language Understanding EvaluationCode1
Pay Attention to MLPsCode1
Factoring Statutory Reasoning as Language Understanding Challenges—0
Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues—0
Evaluating Gender Bias in Natural Language InferenceCode0
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit—0
DefSent: Sentence Embeddings using Definition SentencesCode1
FNet: Mixing Tokens with Fourier TransformsCode1
Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-TuningCode0
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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