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 131–140 of 140 papers

TitleStatusHype
Automatic Annotation of Semantic Term Types in the Complete ACL Anthology Reference Corpus—0
Autoregressive Language Models for Knowledge Base Population: A case study in the space mission domain—0
Benchmarking Named Entity Disambiguation approaches for Streaming Graphs—0
Biography-Dependent Collaborative Entity Archiving for Slot Filling—0
Building a Corpus for Japanese Wikification with Fine-Grained Entity Classes—0
Building a Cross-document Event-Event Relation Corpus—0
Challenges in the Knowledge Base Population Slot Filling Task—0
Cheap and easy entity evaluation—0
Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features—0
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VE-BERTF10.36—Unverified