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Published in 2019 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-019-01354-1
Abstract: A heterogeneous information network (HIN) is a ubiquitous data model, consisting of multiple types of entities and relations. Names of entities in HINs are inherently ambiguous, making it difficult to fully disambiguate a HIN. In…
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Keywords:
heterogeneous information;
heel exploratory;
exploratory entity;
entity ... See more keywords
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Published in 2025 at "Scientific Data"
DOI: 10.1038/s41597-025-05274-4
Abstract: 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…
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Keywords:
dataset;
multi genre;
entity;
standard multi ... See more keywords
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Published in 2024 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btae474
Abstract: Abstract Motivation Biomedical entity linking (BEL) is the task of grounding entity mentions to a given knowledge base (KB). Recently, neural name-based methods, system identifying the most appropriate name in the KB for a given…
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Keywords:
name based;
entity;
biomedical entity;
entity linking ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2833153
Abstract: Entity linking is the task of mapping mentions in text to target knowledge base, which is crucial to knowledge-base-related tasks such as knowledge fusion and knowledge base construction. Although English-oriented entity linking task has undergone…
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Keywords:
deep neural;
mention entity;
entity;
entity linking ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2019.2962307
Abstract: Entity linking (EL) is a task about natural language that links mentions of entities in text to corresponding entities that are in a knowledge base. Potential applications include question-answering systems, information extraction and knowledge base…
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Keywords:
knowledge base;
entities knowledge;
approach;
model ... See more keywords
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Published in 2025 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2024.3523399
Abstract: Entity linking (EL) is a challenging task as it typically requires matching an ambiguous entity mention with its corresponding entity in a knowledge base (KB). The mainstream studies focus on learning and evaluating linking models…
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Keywords:
gsm generalizable;
symbol manipulation;
entity linking;
entity ... See more keywords
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Published in 2021 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-021-01654-z
Abstract: A lot of medical mentions can be extracted from a huge amount of medical texts. In order to make use of these medical mentions, a prerequisite step is to link those medical mentions to a…
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Keywords:
instance learning;
entity;
entity linking;
multi instance ... See more keywords
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Published in 2024 at "PLOS ONE"
DOI: 10.1371/journal.pone.0307254
Abstract: When a fast kinetic natural disaster occurs, it is crucial that crisis managers quickly understand the extent of the situation, especially through the development of “big picture” maps. For many years, great efforts have been…
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Keywords:
natural disasters;
social network;
entity linking;
real time ... See more keywords
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Published in 2022 at "Semantic Web"
DOI: 10.3233/sw-212865
Abstract: Wikidata is a frequently updated, community-driven, and multilingual knowledge graph. Hence, Wikidata is an attractive basis for Entity Linking, which is evident by the recent increase in published papers. This survey focuses on four subjects:…
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Keywords:
entity;
entity linking;
approaches survey;
linking approaches ... See more keywords
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Published in 2022 at "Semantic Web"
DOI: 10.3233/sw-223026
Abstract: In cultural heritage, many projects execute Named Entity Linking (NEL) through global Linked Open Data (LOD) references in order to identify and disambiguate entities in their local datasets. It allows users to obtain extra information…
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Keywords:
cultural heritage;
quality;
linked open;
integration ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14102060
Abstract: In the era of big data, a large amount of unstructured text data springs up every day. Entity linking involves relating the mentions found in the texts to the corresponding entities, which stand for objective…
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Keywords:
linking algorithm;
relevance;
graph convolutional;
entity ... See more keywords