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 401–450 of 1961 papers

TitleStatusHype
Assessing Out-of-Domain Language Model Performance from Few Examples—0
Composition of Sentence Embeddings: Lessons from Statistical Relational Learning—0
Assessing Language Comprehension in Large Language Models Using Construction Grammar—0
ALTN: Word Alignment Features for Cross-lingual Textual Entailment—0
Compositional Phrase Alignment and Beyond—0
Consolidating and Developing Benchmarking Datasets for the Nepali Natural Language Understanding Tasks—0
Constructing a Lexicon of Relational Nouns—0
A Strong Lexical Matching Method for the Machine Comprehension Test—0
Aspectuality Across Genre: A Distributional Semantics Approach—0
Context-Sensitive Inference Rule Discovery: A Graph-Based Method—0
Context-theoretic Semantics for Natural Language: an Algebraic Framework—0
‘Am I the Bad One’? Predicting the Moral Judgement of the Crowd Using Pre–trained Language Models—0
Adopting the Word-Pair-Dependency-Triplets with Individual Comparison for Natural Language Inference—0
DISSECT - DIStributional SEmantics Composition Toolkit—0
ASOBEK at SemEval-2016 Task 1: Sentence Representation with Character N-gram Embeddings for Semantic Textual Similarity—0
Compositional Distributional Semantics Models in Chunk-based Smoothed Tree Kernels—0
Compositional Distributional Models of Meaning—0
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion—0
On the Importance of Delexicalization for Fact Verification—0
Convolutional Interaction Network for Natural Language Inference—0
A Survey of Adversarial Defences and Robustness in NLP—0
Corpora for Learning the Mutual Relationship between Semantic Relatedness and Textual Entailment—0
Compositional De-Attention Networks—0
Corpus annotation with a linguistic analysis of the associations between event mentions and spatial expressions—0
Compliance Checking with NLI: Privacy Policies vs. Regulations—0
A Survey on Recognizing Textual Entailment as an NLP Evaluation—0
Asynchronous Deep Interaction Network for Natural Language Inference—0
A mostly unlexicalized model for recognizing textual entailment—0
A synthetic data approach for domain generalization of NLI models—0
Does Putting a Linguist in the Loop Improve NLU Data Collection?—0
A Simple Three-Step Approach for the Automatic Detection of Exaggerated Statements in Health Science News—0
Comparison and Combination of Sentence Embeddings Derived from Different Supervision Signals—0
Cross-Lingual Ability of Multilingual BERT: An Empirical Study—0
Cross-Lingual Ability of Multilingual Masked Language Models: A Study of Language Structure—0
Comparing two acquisition systems for automatically building an English---Croatian parallel corpus from multilingual websites—0
Crosslingual Induction of Semantic Roles—0
Attention Mechanism, Transformers, BERT, and GPT: Tutorial and Survey—0
Cross-Lingual Transfer for Natural Language Inference via Multilingual Prompt Translator—0
Cross-lingual Transfer of Semantic Role Labeling Models—0
Cross-lingual Transfer or Machine Translation? On Data Augmentation for Monolingual Semantic Textual Similarity—0
Cross-Lingual Transfer with MAML on Trees—0
Discovering Better Model Architectures for Medical Query Understanding—0
Distance-based Self-Attention Network for Natural Language Inference—0
Document Attribution: Examining Citation Relationships using Large Language Models—0
A Two Level Model for Context Sensitive Inference Rules—0
Cross-Policy Compliance Detection via Question Answering—0
Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations—0
Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?—0
Crowdsourcing Complex Language Resources: Playing to Annotate Dependency Syntax—0
Efficient Tree-based Approximation for Entailment Graph Learning—0
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All datasetsSNLIRTEMultiNLIQNLIANLI testWNLILiDiRusRCBTERRaCommitmentBankSciTailFarsTail

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