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 31–40 of 140 papers

TitleStatusHype
Annotating genericity: a survey, a scheme, and a corpus—0
A Generative Model for Relation Extraction and Classification—0
Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features—0
Cheap and easy entity evaluation—0
Annotating and Predicting Non-Restrictive Noun Phrase Modifications—0
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing—0
Combining Supervised and Unsupervised Enembles for Knowledge Base Population—0
Confidence Estimation for Knowledge Base Population—0
Consensus Maximization Fusion of Probabilistic Information Extractors—0
Challenges in the Knowledge Base Population Slot Filling Task—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VE-BERTF10.36—Unverified