Knowledge Base Population
32 papers with code • 1 benchmarks • 3 datasets
Knowledge base population is the task of filling the incomplete elements of a given knowledge base by automatically processing a large corpus of text.
Benchmarks
These leaderboards are used to track progress in Knowledge Base Population
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
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Perlex
FarsBase-KBP
Most implemented papers
KnowledgeNet: A Benchmark Dataset for Knowledge Base Population
diffbot/knowledge-net
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IJCNLP 2019
KnowledgeNet is a benchmark dataset for the task of automatically populating a knowledge base (Wikidata) with facts expressed in natural language text on the web.
Knowledge Base Completion: Baseline strikes back (Again)
Most existing methods train with a small number of negative samples for each positive instance in these datasets to save computational costs.
Deep Neural Networks for Relation Extraction
nusnlp/PtrNetDecoding4JERE
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Relation extraction from text is an important task for automatic knowledge base population.
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
zjunlp/deepke
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We present an open-source and extensible knowledge extraction toolkit DeepKE, supporting complicated low-resource, document-level and multimodal scenarios in the knowledge base population.
EA$^2$E: Improving Consistency with Event Awareness for Document-Level Argument Extraction
zqs1943/docie
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Events are inter-related in documents.
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population
hkust-knowcomp/pseudoreasoner
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We propose PseudoReasoner, a semi-supervised learning framework for CSKB population that uses a teacher model pre-trained on CSKBs to provide pseudo labels on the unlabeled candidate dataset for a student model to learn from.
CKBP v2: An Expert-Annotated Evaluation Set for Commonsense Knowledge Base Population
hkust-knowcomp/cskb-population
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Populating Commonsense Knowledge Bases (CSKB) is an important yet hard task in NLP, as it tackles knowledge from external sources with unseen events and entities.
Expanding the Vocabulary of BERT for Knowledge Base Construction
MaastrichtU-IDS/LMKBC-2023
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To address this, we present Vocabulary Expandable BERT for knowledge base construction, which expand the language model's vocabulary while preserving semantic embeddings for newly added words.
Textual Entailment for Effective Triple Validation in Object Prediction
expertailab/textual-entailment-for-effective-triple-validation-in-object-prediction
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Knowledge base population seeks to expand knowledge graphs with facts that are typically extracted from a text corpus.
