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 26–50 of 140 papers

TitleStatusHype
A Pipeline Japanese Entity Linking System with Embedding Features—0
Benchmarking Named Entity Disambiguation approaches for Streaming Graphs—0
Biography-Dependent Collaborative Entity Archiving for Slot Filling—0
An Entity-Centric Coreference Resolution System for Person Entities with Rich Linguistic Information—0
Building a Corpus for Japanese Wikification with Fine-Grained Entity Classes—0
Annotating genericity: a survey, a scheme, and a corpus—0
A Generative Model for Relation Extraction and Classification—0
Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features—0
Cheap and easy entity evaluation—0
Annotating and Predicting Non-Restrictive Noun Phrase Modifications—0
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing—0
Combining Supervised and Unsupervised Enembles for Knowledge Base Population—0
Confidence Estimation for Knowledge Base Population—0
Consensus Maximization Fusion of Probabilistic Information Extractors—0
Creating and Curating a Cross-Language Person-Entity Linking Collection—0
A Regional News Corpora for Contextualized Entity Discovery and Linking—0
Cross-Document, Cross-Language Event Coreference Annotation Using Event Hoppers—0
Cross-lingual Wikification Using Multilingual Embeddings—0
Data Augmentation for Personal Knowledge Base Population—0
Automatically Labeled Data Generation for Large Scale Event Extraction—0
Challenges in the Knowledge Base Population Slot Filling Task—0
Automatic Annotation of Semantic Term Types in the Complete ACL Anthology Reference Corpus—0
Building a Cross-document Event-Event Relation Corpus—0
A New Dataset and Evaluation for Belief/Factuality—0
Adversarial Training for Satire Detection: Controlling for Confounding Variables—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VE-BERTF10.36—Unverified