Named entity disambiguation in short texts over knowledge graphs. [PDF]
Knowl Inf Syst, 2022 The ever-growing usage of knowledge graphs (KGs) positions named entity disambiguation (NED) at the heart of designing accurate KG-driven systems such as query answering systems (QAS). According to the current research, most studies dealing with NED on KGs involve long texts, which is not the case of short text fragments, identified by their limited ...
Bouarroudj W, Boufaida Z, Bellatreche L.
europepmc +6 more sources
SNEToolkit: Spatial named entities disambiguation toolkit [PDF]
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 +3 more
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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 +3 more sources
Computationally Efficient Context-Free Named Entity Disambiguation with Wikipedia
Information, 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
doaj +3 more sources
Named Entity Disambiguation at Scale [PDF]
Lecture Notes in Computer Science, 2020 Named Entity Disambiguation (NED) is a crucial task in many Natural Language Processing applications such as entity linking, record linkage, knowledge base construction, or relation extraction, to name a few. The task in NED is to map textual variations of a named entity to its formal name.
Aghaebrahimian, Ahmad, Cieliebak, Mark
openaire +3 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 SciencesObjectives: Chemotherapy-induced nausea and vomiting (CINV) is a common adverse effect among breast cancer patients, significantly affecting quality of life.
Yu Liu +4 more
doaj +2 more sources
Leveraging large language models for rare disease named entity recognition. [PDF]
PLOS Digital HealthNamed 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
CEAF: Capsule network enhanced feature fusion architecture for Chinese Named Entity Recognition. [PDF]
PLoS ONEChinese 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
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 +3 more
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