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 1851–1900 of 1961 papers

TitleStatusHype
CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity—0
CFILT-CORE: Semantic Textual Similarity using Universal Networking Language—0
UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis—0
UMCC\_DLSI: Textual Similarity based on Lexical-Semantic features—0
Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features—0
ALTN: Word Alignment Features for Cross-lingual Textual Entailment—0
Celi: EDITS and Generic Text Pair Classification—0
ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures—0
Global Inference for Bridging Anaphora Resolution—0
SOFTCARDINALITY: Learning to Identify Directional Cross-Lingual Entailment from Cardinalities and SMT—0
SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis—0
SOFTCARDINALITY-CORE: Improving Text Overlap with Distributional Measures for Semantic Textual Similarity—0
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form—0
Using the text to evaluate short answers for reading comprehension exercises—0
UTTime: Temporal Relation Classification using Deep Syntactic Features—0
ETS: Domain Adaptation and Stacking for Short Answer Scoring—0
Multi-Metric Optimization Using Ensemble Tuning—0
iKernels-Core: Tree Kernel Learning for Textual Similarity—0
Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization—0
SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge—0
BUAP: N-gram based Feature Evaluation for the Cross-Lingual Textual Entailment Task—0
*SEM 2013 shared task: Semantic Textual Similarity—0
LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features—0
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013—0
Logic Programs vs. First-Order Formulas in Textual Inference—0
Toward Fine-grained Annotation of Modality in Text—0
A Search Task Dataset for German Textual Entailment—0
UCCA: A Semantics-based Grammatical Annotation Scheme—0
Semantic Annotation of Textual Entailment—0
Modeling Semantic Relations Expressed by Prepositions—0
Squibs: What Is a Paraphrase?—0
Good, Great, Excellent: Global Inference of Semantic Intensities—0
Light Textual Inference for Semantic Parsing—0
Hunting for Entailing Pairs in the Penn Discourse Treebank—0
Where's the meeting that was cancelled? existential implications of transitive verbs—0
A Latent Discriminative Model for Compositional Entailment Relation Recognition using Natural Logic—0
Thai Sentence Paraphrasing from the Lexical Resource—0
UAlacant: Using Online Machine Translation for Cross-Lingual Textual Entailment—0
DeepPurple: Estimating Sentence Semantic Similarity using N-gram Regression Models and Web Snippets—0
Learning Verb Inference Rules from Linguistically-Motivated Evidence—0
String Re-writing Kernel—0
Using Discourse Information for Paraphrase Extraction—0
Entailment-based Text Exploration with Application to the Health-care Domain—0
Regular polysemy: A distributional model—0
Improving Implicit Discourse Relation Recognition Through Feature Set Optimization—0
sranjans : Semantic Textual Similarity using Maximal Weighted Bipartite Graph Matching—0
SRIUBC: Simple Similarity Features for Semantic Textual Similarity—0
UMCC\_DLSI: Multidimensional Lexical-Semantic Textual Similarity—0
UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures—0
Stanford: Probabilistic Edit Distance Metrics for STS—0
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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