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Recognition and linking of discontinuous named entities in healthcare: a comparative performance analysis [PDF]
IntroductionThe recognition and linking of discontinuous named entities (DiscNEs) in healthcare remain challenging due to their fragmented structure and semantic complexity.
Areej Alhassan +9 more
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Gold standard, multi-genre dataset for named entity recognition and linking [PDF]
In our study, we introduce a new dataset designed for the evaluation of entity-linking systems. Entity Linking (EL) involves identifying specific segments in a text so-called mentions and linking them to relevant entries in an external Knowledge Base (KB)
Szymon Olewniczak, Julian SzymaĆski
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Towards scalable and cross-lingual specialist language models for oncology [PDF]
Clinical oncology generates vast, unstructured data that often contain inconsistencies, missing information, and ambiguities, making it difficult to extract reliable insights for data-driven decision-making.
Morteza Rohanian +5 more
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Entity Linking Method for Chinese Short Text Based on Siamese-Like Network
Entity linking plays a fundamental role in knowledge engineering and data mining and is the basis of various downstream applications such as content analysis, relationship extraction, question and answer.
Yang Zhang, Jin Liu, Bo Huang, Bei Chen
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Entity Relation Linking Based on Feature Joint and Multi-Attention [PDF]
As the core component of question answering over knowledge base, entity linking and relation linking are often used as two independent tasks to connect the natural language questions to knowledge base information, which ignores the mutual influence ...
FU Lin, LIU Zhao, QIU Chen, GAO Feng
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NAMED ENTITY DISAMBIGUATION: A HYBRID APPROACH [PDF]
Semantic annotation of named entities for enriching unstructured content is a critical step in development of Semantic Web and many Natural Language Processing applications.
HienT. Nguyen, TruH. Cao
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Named Entity Extraction for Knowledge Graphs: A Literature Overview
An enormous amount of digital information is expressed as natural-language (NL) text that is not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for representing information in computer-processable form. Natural Language
Tareq Al-Moslmi +3 more
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CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications
Measurement(s) COVID-19-related publications Technology Type(s) named entity recognition, entity linking and link discovery ...
Svetlana Pestryakova +6 more
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Background Named Entity Linking systems are a powerful aid to the manual curation of digital libraries, which is getting increasingly costly and inefficient due to the information overload.
Pedro Ruas +2 more
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Background For automated reading of scientific publications to extract useful information about molecular mechanisms it is critical that genes, proteins and other entities be correctly associated with uniform identifiers, a process known as named entity ...
John A. Bachman +2 more
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