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
The Task 2 of CIPS-SIGHAN 2012 Named Entity Recognition and Disambiguation in Chinese Bakeoff—0
Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features—0
Extracting Narrative Timelines as Temporal Dependency Structures—0
Relabeling Distantly Supervised Training Data for Temporal Knowledge Base Population—0
Evaluating the Quality of a Knowledge Base Populated from Text—0
Population of a Knowledge Base for News Metadata from Unstructured Text and Web Data—0
A Context-Aware Approach to Entity Linking—0
A Robust Shallow Temporal Reasoning System—0
Aleda, a free large-scale entity database for French—0
A Gold Standard for Relation Extraction in the Food Domain—0
Challenges in the Knowledge Base Population Slot Filling Task—0
Creating and Curating a Cross-Language Person-Entity Linking Collection—0
GerNED: A German Corpus for Named Entity Disambiguation—0
Linguistic Resources for Entity Linking Evaluation: from Monolingual to Cross-lingual—0
TIMEN: An Open Temporal Expression Normalisation ResourceCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VE-BERTF10.36—Unverified