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
T-REx: A Large Scale Alignment of Natural Language with Knowledge Base TriplesCode0
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base PopulationCode0
Building a Corpus for Japanese Wikification with Fine-Grained Entity Classes—0
An Entity-Centric Coreference Resolution System for Person Entities with Rich Linguistic Information—0
Biography-Dependent Collaborative Entity Archiving for Slot Filling—0
Benchmarking Named Entity Disambiguation approaches for Streaming Graphs—0
An Empirical Analysis of Formality in Online Communication—0
Analysis of Temporal Expressions Annotated in Clinical Notes—0
Autoregressive Language Models for Knowledge Base Population: A case study in the space mission domain—0
Automatic Annotation of Semantic Term Types in the Complete ACL Anthology Reference Corpus—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VE-BERTF10.36—Unverified