arXiv:1506.00301
Interactive Knowledge Base Population
원문 초록
Most work on building knowledge bases has focused on collecting entities and facts from as large a collection of documents as possible. We argue for and describe a new paradigm where the focus is on a high-recall extraction over a small collection of documents under the supervision of a human expert, that we call Interactive Knowledge Base Population (IKBP).
함께 살펴볼 논문
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Textual Entailment for Effective Triple Validation in Object Prediction
Expanding the Vocabulary of BERT for Knowledge Base Construction
CKBP v2: Better Annotation and Reasoning for Commonsense Knowledge Base Population
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population
EA$^2$E: Improving Consistency with Event Awareness for Document-Level Argument Extraction
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
토론
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