SOTAVerified

Knowledge Base Population

Knowledge base population is the task of filling the incomplete elements of a given knowledge base by automatically processing a large corpus of text.

Papers

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Showing 126–140 of 140 papers

TitleStatusHype
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific PublicationsCode0
Joint Matrix-Tensor Factorization for Knowledge Base InferenceCode0
Expanding the Vocabulary of BERT for Knowledge Base ConstructionCode0
Textual Entailment for Effective Triple Validation in Object PredictionCode0
Adversarial Feature Adaptation for Cross-lingual Relation ClassificationCode0
Knowledge Base Completion: Baseline strikes back (Again)Code0
Framing Named Entity Linking Error TypesCode0
The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive AnnotationCode0
TweeTime : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in TwitterCode0
Knowledge-Guided Linguistic Rewrites for Inference Rule VerificationCode0
KnowledgeNet: A Benchmark Dataset for Knowledge Base PopulationCode0
Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political DebatesCode0
TIMEN: An Open Temporal Expression Normalisation ResourceCode0
Type-Sensitive Knowledge Base Inference Without Explicit Type SupervisionCode0
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological TagsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VE-BERTF10.36—Unverified