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 51–75 of 140 papers

TitleStatusHype
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
Uncovering Probabilistic Implications in Typological Knowledge Bases—0
Unsupervised Learning of Coherent and General Semantic Classes for Entity Aggregates—0
Unsupervised Person Slot Filling based on Graph Mining—0
Using Mined Coreference Chains as a Resource for a Semantic Task—0
When ACE met KBP: End-to-End Evaluation of Knowledge Base Population with Component-level Annotation—0
Why Read if You Can Scan? Trigger Scoping Strategy for Biographical Fact Extraction—0
Wikification and Beyond: The Challenges of Entity and Concept Grounding—0
Zero-shot Relation Classification as Textual Entailment—0
Effective Crowd Annotation for Relation Extraction—0
Entity/Event-Level Sentiment Detection and Inference—0
Entity Linking Meets Deep Learning: Techniques and Solutions—0
Evaluating the Quality of a Knowledge Base Populated from Text—0
Event Extraction Using Distant Supervision—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VE-BERTF10.36—Unverified