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 1–10 of 140 papers

TitleStatusHype
Autoregressive Language Models for Knowledge Base Population: A case study in the space mission domain—0
Textual Entailment for Effective Triple Validation in Object PredictionCode0
Expanding the Vocabulary of BERT for Knowledge Base ConstructionCode0
CKBP v2: Better Annotation and Reasoning for Commonsense Knowledge Base PopulationCode1
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base PopulationCode1
EA^2E: Improving Consistency with Event Awareness for Document-Level Argument ExtractionCode1
STable: Table Generation Framework for Encoder-Decoder Models—0
EA^2E: Improving Consistency with Event Awareness for Document-Level Argument ExtractionCode1
BEEDS: Large-Scale Biomedical Event Extraction using Distant Supervision and Question AnsweringCode0
A Generative Model for Relation Extraction and Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VE-BERTF10.36—Unverified