Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/74782

TitleTowards Entity Linking, NER in archival finding aids
Author(s)Cunha, Luís Filipe da Costa
Ramalho, José Carlos
KeywordsArchival Descriptions
Named Entity Recognition
Machine Learning
Web
Issue date13-Sep-2021
PublisherCEUR-Ws
JournalCEUR Workshop Proceedings
Abstract(s)The amount of information present in Portuguese archives has been increasing exponentially over the years. At the moment, the majority of the data is already available to the public in digital format, however, the records are stored as unstructured text, making its data processing challenging. In this way, it is intended to perform a semantic interpretation of these documents through the identification and classification of Named Entities. For this purpose, the use of Natural Language Processing tools is proposed, training Machine Learning algorithms capable of accurately recognizing entities in this context. Finally, it is presented a Web platform that implements all the models trained in this paper, as well as some tools that gave support to the entity extraction process.
TypeConference paper
URIhttps://hdl.handle.net/1822/74782
ISSN1613-0073
Publisher versionhttp://ceur-ws.org/Vol-3019/LinkedArchives_2021_paper_12.pdf
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CCTC - Artigos em atas de conferências internacionais (texto completo)

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