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 101–140 of 140 papers

TitleStatusHype
Why Read if You Can Scan? Trigger Scoping Strategy for Biographical Fact Extraction—0
Analysis of Temporal Expressions Annotated in Clinical Notes—0
Unsupervised Learning of Coherent and General Semantic Classes for Entity Aggregates—0
Entity Disambiguation with Web LinksCode0
Trading accuracy for faster named entity linking—0
Type-Aware Distantly Supervised Relation Extraction with Linked Arguments—0
Adding High-Precision Links to Wikipedia—0
Joint Inference for Knowledge Base Population—0
Using Mined Coreference Chains as a Resource for a Semantic Task—0
Analysing recall loss in named entity slot filling—0
TCDSCSS: Dimensionality Reduction to Evaluate Texts of Varying Lengths - an IR Approach—0
The Wisdom of Minority: Unsupervised Slot Filling Validation based on Multi-dimensional Truth-Finding—0
Application-Driven Relation Extraction with Limited Distant Supervision—0
Prior-informed Distant Supervision for Temporal Evidence Classification—0
An Entity-Centric Coreference Resolution System for Person Entities with Rich Linguistic Information—0
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing—0
Benchmarking Named Entity Disambiguation approaches for Streaming Graphs—0
Towards Temporal Scoping of Relational Facts based on Wikipedia Data—0
Wikification and Beyond: The Challenges of Entity and Concept Grounding—0
Cheap and easy entity evaluation—0
Event Extraction Using Distant Supervision—0
ILLINOISCLOUDNLP: Text Analytics Services in the Cloud—0
RelationFactory: A Fast, Modular and Effective System for Knowledge Base Population—0
Confidence Estimation for Knowledge Base Population—0
KELVIN: a tool for automated knowledge base construction—0
Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features—0
The Task 2 of CIPS-SIGHAN 2012 Named Entity Recognition and Disambiguation in Chinese Bakeoff—0
Extracting Narrative Timelines as Temporal Dependency Structures—0
Relabeling Distantly Supervised Training Data for Temporal Knowledge Base Population—0
A Context-Aware Approach to Entity Linking—0
A Robust Shallow Temporal Reasoning System—0
Evaluating the Quality of a Knowledge Base Populated from Text—0
Population of a Knowledge Base for News Metadata from Unstructured Text and Web Data—0
Linguistic Resources for Entity Linking Evaluation: from Monolingual to Cross-lingual—0
Challenges in the Knowledge Base Population Slot Filling Task—0
Creating and Curating a Cross-Language Person-Entity Linking Collection—0
GerNED: A German Corpus for Named Entity Disambiguation—0
Aleda, a free large-scale entity database for French—0
A Gold Standard for Relation Extraction in the Food Domain—0
TIMEN: An Open Temporal Expression Normalisation ResourceCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VE-BERTF10.36—Unverified