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Computationally Efficient Context-Free Named Entity Disambiguation with Wikipedia

Information (Switzerland), 2022
The induction of the semantics of unstructured text corpora is a crucial task for modern natural language processing and artificial intelligence applications.
Michael Angelos Simos, Christos Makris
exaly   +3 more sources

Leveraging large language models for rare disease named entity recognition. [PDF]

PLOS Digital Health
Named Entity Recognition (NER) in the rare disease domain poses unique challenges due to limited labeled data, semantic ambiguity between entity types, and long-tail distributions.
Nan Miles Xi, Yu Deng, Lin Wang
doaj   +2 more sources

Development of a large language model–based knowledge graph for chemotherapy-induced nausea and vomiting in breast cancer and its implications for nursing [PDF]

International Journal of Nursing Sciences
Objectives: Chemotherapy-induced nausea and vomiting (CINV) is a common adverse effect among breast cancer patients, significantly affecting quality of life.
Yu Liu, Jingjing Chen, Xianhui Lin, Jihong Song, Shaohua Chen   +4 more
doaj   +2 more sources

CEAF: Capsule network enhanced feature fusion architecture for Chinese Named Entity Recognition. [PDF]

PLoS ONE
Chinese Named Entity Recognition (NER) is a fundamental task in the field of natural language processing, where achieving deep semantic mining of nested entities and accurate disambiguation of character-level boundary ambiguities stands as its core ...
Siyu Ma, Guangzhong Liu, Yangshuyi Xu
doaj   +2 more sources

NAMED ENTITY DISAMBIGUATION: A HYBRID APPROACH [PDF]

International Journal of Computational Intelligence Systems, 2012
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
doaj   +1 more source

SNEToolkit: Spatial named entities disambiguation toolkit

SoftwareX, 2023
“Can you tell me where San Jose is located?” “Uh! Do you know that there are more than 1700 locations named San Jose in the world?” The official name of a location is often not the name with which we are familiar.
Rodrique Kafando, Rémy Decoupes, Mathieu Roche, Maguelonne Teisseire   +3 more
doaj   +1 more source

Entity Linking Method for Chinese Short Text Based on Siamese-Like Network

Information, 2022
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
doaj   +1 more source

Leveraging Concepts in Open Access Publications [PDF]

Journal of Data Mining and Digital Humanities, 2020
This paper addresses the integration of a Named Entity Recognition and Disambiguation (NERD) service within a group of open access (OA) publishing digital platforms and considers its potential impact on both research and scholarly publishing.
Andrea Bertino, Luca Foppiano, Laurent Romary, Pierre Mounier   +3 more
doaj   +3 more sources

Linking chemical and disease entities to ontologies by integrating PageRank with extracted relations from literature

Journal of Cheminformatics, 2020
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, Andre Lamurias, Francisco M. Couto   +2 more
doaj   +1 more source

OTNEL: A Distributed Online Deep Learning Semantic Annotation Methodology

Big Data and Cognitive Computing, 2020
Semantic representation of unstructured text is crucial in modern artificial intelligence and information retrieval applications. The semantic information extraction process from an unstructured text fragment to a corresponding representation from a ...
Christos Makris, Michael Angelos Simos
doaj   +1 more source