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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 140 papers

TitleStatusHype
Huntsville, hospitals, and hockey teams: Names can reveal your location—0
Position-aware Attention and Supervised Data Improve Slot FillingCode0
Importance sampling for unbiased on-demand evaluation of knowledge base population—0
Generating Pattern-Based Entailment Graphs for Relation Extraction—0
Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets—0
Pocket Knowledge Base Population—0
Automatically Labeled Data Generation for Large Scale Event Extraction—0
Joint Matrix-Tensor Factorization for Knowledge Base InferenceCode0
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific PublicationsCode0
Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge—0
Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network—0
Neural Networks Models for Entity Discovery and Linking—0
Combining Supervised and Unsupervised Enembles for Knowledge Base Population—0
Improving Semantic Parsing via Answer Type Inference—0
TweeTime : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in TwitterCode0
A Pipeline Japanese Entity Linking System with Embedding Features—0
Identification of Mentions and Relations between Bacteria and Biotope from PubMed Abstracts—0
Building a Cross-document Event-Event Relation Corpus—0
Specifying and Annotating Reduced Argument Span Via QA-SRL—0
Building a Corpus for Japanese Wikification with Fine-Grained Entity Classes—0
Unsupervised Person Slot Filling based on Graph Mining—0
Annotating and Predicting Non-Restrictive Noun Phrase Modifications—0
Knowledge Base Population for Organization Mentions in Email—0
Event Nugget and Event Coreference Annotation—0
A Comparison of Weak Supervision methods for Knowledge Base Construction—0
Knowledge-Guided Linguistic Rewrites for Inference Rule VerificationCode0
Consensus Maximization Fusion of Probabilistic Information Extractors—0
Cross-lingual Wikification Using Multilingual Embeddings—0
Effective Crowd Annotation for Relation Extraction—0
A Regional News Corpora for Contextualized Entity Discovery and Linking—0
Parallel Chinese-English Entities, Relations and Events Corpora—0
SemLinker, a Modular and Open Source Framework for Named Entity Discovery and Linking—0
Supervised and Unsupervised Ensembling for Knowledge Base Population—0
An Empirical Analysis of Formality in Online Communication—0
Knowledge Base Population using Semantic Label Propagation—0
Biography-Dependent Collaborative Entity Archiving for Slot Filling—0
Language and Domain Independent Entity Linking with Quantified Collective Validation—0
Sar-graphs: A Linked Linguistic Knowledge Resource Connecting Facts with Language—0
Semantic Type Classification of Common Words in Biomedical Noun Phrases—0
FrameNet+: Fast Paraphrastic Tripling of FrameNet—0
Matrix and Tensor Factorization Methods for Natural Language Processing—0
Stacked Ensembles of Information Extractors for Knowledge-Base Population—0
Relation Extraction: Perspective from Convolutional Neural Networks—0
Annotating genericity: a survey, a scheme, and a corpus—0
Entity/Event-Level Sentiment Detection and Inference—0
A Concrete Chinese NLP Pipeline—0
Relation Extraction from Community Generated Question-Answer Pairs—0
A New Dataset and Evaluation for Belief/Factuality—0
Interactive Knowledge Base Population—0
MPQA 3.0: An Entity/Event-Level Sentiment Corpus—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VE-BERTF10.36—Unverified