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 with no code
Adversarial Training for Satire Detection: Controlling for Confounding Variables
We therefore propose a novel model for satire detection with an adversarial component to control for the confounding variable of publication source.
Zero-shot Relation Classification as Textual Entailment
We consider the task of relation classification, and pose this task as one of textual entailment.
Learning to Define Terms in the Software Domain
One way to test a person{'}s knowledge of a domain is to ask them to define domain-specific terms.
A Case Study on Learning a Unified Encoder of Relations
Typical relation extraction models are trained on a single corpus annotated with a pre-defined relation schema.
Jointly Identifying and Fixing Inconsistent Readings from Information Extraction Systems
KGCleaner is a framework to identify and correct errors in data produced and delivered by an information extraction system.
SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling
Supervised machine learning algorithms require training data whose generation for complex relation extraction tasks tends to be difficult.
Multi-lingual Entity Discovery and Linking
We will then proceed to Cross-lingual EL and discuss methods that work across languages.
Supervised Open Information Extraction
We present data and methods that enable a supervised learning approach to Open Information Extraction (Open IE).
