entity linking
PulseAugur coverage of entity linking — every cluster mentioning entity linking across labs, papers, and developer communities, ranked by signal.
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New knowledge graph organizes 150K+ research datasets for policy analysis
Researchers have developed a knowledge graph to organize over 150,000 research datasets within the Harvard Dataverse, linking them to keywords, publications, and locations. This graph identifies 7,654 policy-relevant da…
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Mastering Entity Resolution for Pristine Enterprise Knowledge Graphs
This article discusses the critical challenge of data fragmentation in enterprise knowledge graphs, where the same real-world entity can be represented by different names across various systems. It highlights the need f…
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SNAP-KG framework enables efficient streaming entity integration for knowledge graphs
Researchers have developed SNAP-KG, a novel framework designed to integrate new entities into knowledge graphs more efficiently. Unlike existing methods that require retraining for each new entity, SNAP-KG uses a projec…
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AI in Sports Glossary Adds "Grounding" Term
A new term, "Grounding," has been added to a glossary focused on Artificial Intelligence in Sports. The glossary aims to define and explain AI concepts relevant to the sports industry.
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Domain-specific fine-tuning enhances AI models for entity resolution
A new research paper explores the adaptation of general-purpose text embedding models for entity resolution tasks. The study, published on arXiv, investigates domain-specific triplet fine-tuning to improve the models' a…
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New paper offers practical lessons for building self-serve entity resolution systems
A new paper details practical lessons learned from building a self-serve entity resolution (ER) system. The research highlights that no single matching algorithm is universally effective, recommending a pipeline that tr…
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New research tackles biomedical entity linking and benchmark analysis
Two new research papers explore the challenges and potential solutions for biomedical entity linking (BEL) and named entity recognition (NER). One paper introduces BeLink, a system that uses instruction-tuned generative…