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
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
ALTN: Word Alignment Features for Cross-lingual Textual Entailment—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
PolyUCOMP-CORE\_TYPED: Computing Semantic Textual Similarity using Overlapped Senses—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
iKernels-Core: Tree Kernel Learning for Textual Similarity—0
Using the text to evaluate short answers for reading comprehension exercises—0
UTTime: Temporal Relation Classification using Deep Syntactic Features—0
Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization—0
SXUCFN-Core: STS Models Integrating FrameNet Parsing Information—0
SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge—0
EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis—0
*SEM 2013 shared task: Semantic Textual Similarity—0
ETS: Domain Adaptation and Stacking for Short Answer Scoring—0
CFILT-CORE: Semantic Textual Similarity using Universal Networking Language—0
Large-Scale Paraphrasing for Natural Language Understanding—0
Multi-Metric Optimization Using Ensemble Tuning—0
Global Inference for Bridging Anaphora Resolution—0
The Life and Death of Discourse Entities: Identifying Singleton Mentions—0
A Search Task Dataset for German Textual Entailment—0
Logic Programs vs. First-Order Formulas in Textual Inference—0
UCCA: A Semantics-based Grammatical Annotation Scheme—0
Toward Fine-grained Annotation of Modality in Text—0
Semantic Annotation of Textual Entailment—0
Good, Great, Excellent: Global Inference of Semantic Intensities—0
Squibs: What Is a Paraphrase?—0
Modeling Semantic Relations Expressed by Prepositions—0
Light Textual Inference for Semantic Parsing—0
Hunting for Entailing Pairs in the Penn Discourse Treebank—0
A Latent Discriminative Model for Compositional Entailment Relation Recognition using Natural Logic—0
Where's the meeting that was cancelled? existential implications of transitive verbs—0
Thai Sentence Paraphrasing from the Lexical Resource—0
Extracting Context-Rich Entailment Rules from Wikipedia Revision History—0
Identifying Untyped Relation Mentions in a Corpus given an Ontology—0
Graph Based Similarity Measures for Synonym Extraction from Parsed Text—0
How do Negation and Modality Impact on Opinions?—0
Improving Implicit Discourse Relation Recognition Through Feature Set Optimization—0
Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web—0
Using Discourse Information for Paraphrase Extraction—0
Identifying Constant and Unique Relations by using Time-Series Text—0
Probabilistic Finite State Machines for Regression-based MT Evaluation—0
Learning Verb Inference Rules from Linguistically-Motivated Evidence—0
Local and Global Context for Supervised and Unsupervised Metonymy Resolution—0
SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity—0
DeepPurple: Estimating Sentence Semantic Similarity using N-gram Regression Models and Web Snippets—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