Results 11 to 20 of about 7,950 (213)
NER in Archival Finding Aids: Extended
Machine Learning and Knowledge Extraction, 2022 The amount of information preserved in Portuguese archives has increased over the years. These documents represent a national heritage of high importance, as they portray the country’s history.
Luís Filipe da Costa Cunha +1 more
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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
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Entity Linking on Chinese Microblogs via Deep Neural Network
IEEE Access, 2018 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.
Weixin Zeng, Jiuyang Tang, Xiang Zhao
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Enhancement of Question Answering System Accuracy via Transfer Learning and BERT
Applied Sciences, 2022 Entity linking and predicate matching are two core tasks in the Chinese Knowledge Base Question Answering (CKBQA). Compared with the English entity linking task, the Chinese entity linking is extremely complicated, making accurate Chinese entity linking ...
Kai Duan +5 more
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MELArt: A Multimodal Entity Linking Dataset for Art [PDF]
Transactions on Graph Data and KnowledgeTraditional named entity linking (NEL) tools have largely employed a general-domain approach, spanning across various entity types such as persons, organizations, locations, and events in a multitude of contexts.
Sierra-Múnera, Alejandro +3 more
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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
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Collective List-Only Entity Linking: A Graph-Based Approach
IEEE Access, 2018 List-only entity linking (EL) is the task of mapping ambiguous mentions in texts to target entities in a group of entity lists. Different from traditional EL task, which leverages rich semantic relatedness in knowledge bases to improve linking accuracy ...
Weixin Zeng +3 more
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Wenn Algorithmen Zeitschriften lesen
o-bib. Das offene Bibliotheksjournal, 2018 In Zusammenarbeit mit dem Institut für Computerlinguistik der Universität Zürich (ICL UZH) lancierte die ETH-Bibliothek Zürich ein Pilotprojekt im Bereich automatisierter Textanreicherung.
Michael Gasser +2 more
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Journal of Biomedical Semantics, 2020 Background Free-text descriptions in electronic health records (EHRs) can be of interest for clinical research and care optimization. However, free text cannot be readily interpreted by a computer and, therefore, has limited value.
Martijn G. Kersloot +4 more
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Finding Nineteenth-century Berry Spots
Digital Humanities in the Nordic and Baltic Countries Publications, 2019 The paper studies and improves methods of named entity recognition (NER) and linking (NEL) for facilitating historical research, which uses digitized newspaper texts. The specific focus is on a study about historical process of commodification.
Matti La Mela +2 more
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