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 |
|---|---|---|---|---|---|
|
Perlex
FarsBase-KBP
Latest papers
Textual Entailment for Effective Triple Validation in Object Prediction
expertailab/textual-entailment-for-effective-triple-validation-in-object-prediction
•
•
Knowledge base population seeks to expand knowledge graphs with facts that are typically extracted from a text corpus.
Expanding the Vocabulary of BERT for Knowledge Base Construction
MaastrichtU-IDS/LMKBC-2023
•
•
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.
CKBP v2: An Expert-Annotated Evaluation Set for Commonsense Knowledge Base Population
hkust-knowcomp/cskb-population
•
•
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.
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population
hkust-knowcomp/pseudoreasoner
•
•
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.
EA$^2$E: Improving Consistency with Event Awareness for Document-Level Argument Extraction
zqs1943/docie
•
•
Events are inter-related in documents.
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
zjunlp/deepke
•
•
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.
Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset
HKUST-KnowComp/DISCOS-commonsense
•
•
EMNLP 2021
Experimental results show that generalizing commonsense reasoning on unseen assertions is inherently a hard task.
Zero-shot Slot Filling with DPR and RAG
Recently, there has been a promising direction in evaluating language models in the same way we would evaluate knowledge bases, and the task of slot filling is the most suitable to this intent.
Deep Neural Networks for Relation Extraction
nusnlp/PtrNetDecoding4JERE
•
•
Relation extraction from text is an important task for automatic knowledge base population.
Information Extraction of Clinical Trial Eligibility Criteria
Clinical trials predicate subject eligibility on a diversity of criteria ranging from patient demographics to food allergies.
