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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–140 of 140 papers

TitleStatusHype
A Pipeline Japanese Entity Linking System with Embedding Features—0
Application-Driven Relation Extraction with Limited Distant Supervision—0
A Regional News Corpora for Contextualized Entity Discovery and Linking—0
A Robust Shallow Temporal Reasoning System—0
Automatically Labeled Data Generation for Large Scale Event Extraction—0
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