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 1901–1950 of 1961 papers

TitleStatusHype
Natural Language Inference with Monotonicity—0
Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims—0
Natural Language Processing for Intelligent Access to Scientific Information—0
Natural Language Reasoning Using Proof-Assistant Technology: Rich Typing and Beyond—0
Natural Solution to FraCaS Entailment Problems—0
NCUEE at MEDIQA 2019: Medical Text Inference Using Ensemble BERT-BiLSTM-Attention Model—0
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters—0
Negation: A Pink Elephant in the Large Language Models' Room?—0
Neural Attention for Learning to Rank Questions in Community Question Answering—0
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?—0
Neural Paraphrase Generation using Transfer Learning—0
Neural sentence generation from formal semantics—0
Neural Skill Transfer from Supervised Language Tasks to Reading Comprehension—0
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models—0
Neuro-Symbolic Contrastive Learning for Cross-domain Inference—0
New Methods & Metrics for LFQA tasks—0
News Aggregation with Diverse Viewpoint Identification Using Neural Embeddings and Semantic Understanding Models—0
NL-Eye: Abductive NLI for Images—0
NLP\_HZ at SemEval-2018 Task 9: a Nearest Neighbor Approach—0
Noise or additional information? Leveraging crowdsource annotation item agreement for natural language tasks.—0
No means ‘No’; a non-im-proper modeling approach, with embedded speculative context—0
Non-entailed subsequences as a challenge for natural language inference—0
No Strong Feelings One Way or Another: Re-operationalizing Neutrality in Natural Language Inference—0
Not all layers are equally as important: Every Layer Counts BERT—0
Novelty Detection: A Perspective from Natural Language Processing—0
NOWJ at COLIEE 2023 -- Multi-Task and Ensemble Approaches in Legal Information Processing—0
NUIG-UNLP at SemEval-2016 Task 13: A Simple Word Embedding-based Approach for Taxonomy Extraction—0
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation—0
On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization—0
On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation—0
On-Demand Distributional Semantic Distance and Paraphrasing—0
On-demand Injection of Lexical Knowledge for Recognising Textual Entailment—0
On Learning Universal Representations Across Languages—0
On Measuring Social Biases in Prompt-Based Learning—0
On Paraphrase Identification Corpora—0
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency—0
On the Effective Use of Pretraining for Natural Language Inference—0
On the Proper Treatment of Quantifiers in Probabilistic Logic Semantics—0
On the scaling of polynomial features for representation matching—0
Ontology Completion with Natural Language Inference and Concept Embeddings: An Analysis—0
OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing—0
On Zero-shot Cross-lingual Transfer of Multilingual Neural Machine Translation—0
OpineSum: Entailment-based self-training for abstractive opinion summarization—0
Optimising Tree Edit Distance with Subtrees for Textual Entailment—0
ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data—0
Ordering adverbs by their scaling effect on adjective intensity—0
Ordinal Common-sense Inference—0
Original Semantics-Oriented Attention and Deep Fusion Network for Sentence Matching—0
Out of Order: How Important Is The Sequential Order of Words in a Sentence in Natural Language Understanding Tasks?—0
Overcoming Poor Word Embeddings with Word Definitions—0
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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