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 101–125 of 140 papers

TitleStatusHype
Type-Aware Distantly Supervised Relation Extraction with Linked Arguments—0
Uncovering Probabilistic Implications in Typological Knowledge Bases—0
Unsupervised Learning of Coherent and General Semantic Classes for Entity Aggregates—0
Unsupervised Person Slot Filling based on Graph Mining—0
Using Mined Coreference Chains as a Resource for a Semantic Task—0
When ACE met KBP: End-to-End Evaluation of Knowledge Base Population with Component-level Annotation—0
Why Read if You Can Scan? Trigger Scoping Strategy for Biographical Fact Extraction—0
Wikification and Beyond: The Challenges of Entity and Concept Grounding—0
Zero-shot Relation Classification as Textual Entailment—0
The Wisdom of Minority: Unsupervised Slot Filling Validation based on Multi-dimensional Truth-Finding—0
A Comparison of Weak Supervision methods for Knowledge Base Construction—0
A Concrete Chinese NLP Pipeline—0
A Context-Aware Approach to Entity Linking—0
Adding High-Precision Links to Wikipedia—0
Adversarial Training for Satire Detection: Controlling for Confounding Variables—0
A Generative Model for Relation Extraction and Classification—0
A Gold Standard for Relation Extraction in the Food Domain—0
Aleda, a free large-scale entity database for French—0
Analysing recall loss in named entity slot filling—0
Analysis of Temporal Expressions Annotated in Clinical Notes—0
An Empirical Analysis of Formality in Online Communication—0
An Entity-Centric Coreference Resolution System for Person Entities with Rich Linguistic Information—0
A New Dataset and Evaluation for Belief/Factuality—0
Annotating and Predicting Non-Restrictive Noun Phrase Modifications—0
Annotating genericity: a survey, a scheme, and a corpus—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VE-BERTF10.36—Unverified