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
Identification of Mentions and Relations between Bacteria and Biotope from PubMed Abstracts—0
ILLINOISCLOUDNLP: Text Analytics Services in the Cloud—0
Importance sampling for unbiased on-demand evaluation of knowledge base population—0
Improving Semantic Parsing via Answer Type Inference—0
Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets—0
Interactive Knowledge Base Population—0
Joint Inference for Knowledge Base Population—0
KELVIN: a tool for automated knowledge base construction—0
Jointly Identifying and Fixing Inconsistent Readings from Information Extraction Systems—0
Knowledge Base Population for Organization Mentions in Email—0
Knowledge Base Population using Semantic Label Propagation—0
Language and Domain Independent Entity Linking with Quantified Collective Validation—0
Laying the Groundwork for Knowledge Base Population: Nine Years of Linguistic Resources for TAC KBP—0
Learning Relational Representations by Analogy using Hierarchical Siamese Networks—0
Learning to Define Terms in the Software Domain—0
Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks—0
Linguistic Resources for Entity Linking Evaluation: from Monolingual to Cross-lingual—0
Linking Graph Entities with Multiplicity and Provenance—0
Matrix and Tensor Factorization Methods for Natural Language Processing—0
MPQA 3.0: An Entity/Event-Level Sentiment Corpus—0
Multi-lingual Entity Discovery and Linking—0
Neural Networks Models for Entity Discovery and Linking—0
Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network—0
Parallel Chinese-English Entities, Relations and Events Corpora—0
PERLEX: A Bilingual Persian-English Gold Dataset for Relation Extraction—0
Pocket Knowledge Base Population—0
Population of a Knowledge Base for News Metadata from Unstructured Text and Web Data—0
Prior-informed Distant Supervision for Temporal Evidence Classification—0
Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge—0
Relabeling Distantly Supervised Training Data for Temporal Knowledge Base Population—0
Relation Extraction from Community Generated Question-Answer Pairs—0
Relation Extraction: Perspective from Convolutional Neural Networks—0
RelationFactory: A Fast, Modular and Effective System for Knowledge Base Population—0
SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling—0
Sar-graphs: A Linked Linguistic Knowledge Resource Connecting Facts with Language—0
Semantic Type Classification of Common Words in Biomedical Noun Phrases—0
SemLinker, a Modular and Open Source Framework for Named Entity Discovery and Linking—0
Set Generation Networks for End-to-End Knowledge Base Population—0
Specifying and Annotating Reduced Argument Span Via QA-SRL—0
STable: Table Generation Framework for Encoder-Decoder Models—0
Stacked Ensembles of Information Extractors for Knowledge-Base Population—0
Supervised and Unsupervised Ensembling for Knowledge Base Population—0
Supervised Open Information Extraction—0
TCDSCSS: Dimensionality Reduction to Evaluate Texts of Varying Lengths - an IR Approach—0
The Task 2 of CIPS-SIGHAN 2012 Named Entity Recognition and Disambiguation in Chinese Bakeoff—0
A Case Study on Learning a Unified Encoder of Relations—0
Towards Temporal Scoping of Relational Facts based on Wikipedia Data—0
Trading accuracy for faster named entity linking—0
Type-Aware Distantly Supervised Relation Extraction with Linked Arguments—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VE-BERTF10.36—Unverified