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

Showing 76100 of 140 papers

TitleStatusHype
Knowledge-Guided Linguistic Rewrites for Inference Rule VerificationCode0
Consensus Maximization Fusion of Probabilistic Information Extractors0
Cross-lingual Wikification Using Multilingual Embeddings0
Effective Crowd Annotation for Relation Extraction0
A Regional News Corpora for Contextualized Entity Discovery and Linking0
Parallel Chinese-English Entities, Relations and Events Corpora0
SemLinker, a Modular and Open Source Framework for Named Entity Discovery and Linking0
Supervised and Unsupervised Ensembling for Knowledge Base Population0
An Empirical Analysis of Formality in Online Communication0
Knowledge Base Population using Semantic Label Propagation0
Biography-Dependent Collaborative Entity Archiving for Slot Filling0
Language and Domain Independent Entity Linking with Quantified Collective Validation0
Sar-graphs: A Linked Linguistic Knowledge Resource Connecting Facts with Language0
Semantic Type Classification of Common Words in Biomedical Noun Phrases0
FrameNet+: Fast Paraphrastic Tripling of FrameNet0
Matrix and Tensor Factorization Methods for Natural Language Processing0
Stacked Ensembles of Information Extractors for Knowledge-Base Population0
Relation Extraction: Perspective from Convolutional Neural Networks0
Annotating genericity: a survey, a scheme, and a corpus0
Entity/Event-Level Sentiment Detection and Inference0
A Concrete Chinese NLP Pipeline0
Relation Extraction from Community Generated Question-Answer Pairs0
A New Dataset and Evaluation for Belief/Factuality0
Interactive Knowledge Base Population0
MPQA 3.0: An Entity/Event-Level Sentiment Corpus0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VE-BERTF10.36Unverified