NEAT—Named Entities in Archaeological Texts: A semantic approach to term extraction and classification

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A2UBM235M" target="_blank" >RIV/00216208:11320/23:2UBM235M - isvavai.cz</a>

Result on the web

<a href="https://academic.oup.com/dsh/advance-article-abstract/doi/10.1093/llc/fqad017/7117781" target="_blank" >https://academic.oup.com/dsh/advance-article-abstract/doi/10.1093/llc/fqad017/7117781</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1093/llc/fqad017" target="_blank" >10.1093/llc/fqad017</a>

Result language

angličtina

Original language name

NEAT—Named Entities in Archaeological Texts: A semantic approach to term extraction and classification

Original language description

"In this paper, we propose a methodology to annotate texts concerning domain-specific knowledge, to provide a reliable source of data for the task of Named Entity Recognition (NER) in the domain of archaeology for the Italian laguage. This method integrates syntactic and semantic information from several structured sources to annotate entities’ mentions in unstructured texts. Furthermore, we make use of an ontology to label entities with the specific type they refer to. By using a corpus made up of item descriptions from Europeana’s Archaeology Collection, we first test our proposed methodology on a mock dataset composed of 1,000 texts. After several steps of improvements, we use the final process to create a complete dataset composed of 5,000 descriptions. The resulting dataset, Named Entities in Archaeological Texts has a total of 41,002 spans of texts annotated with their domain-specific entity classification according to the CIDOC Conceptual Reference Model."

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

"Digital Scholarship in the Humanities"

ISSN

2055-7671

e-ISSN

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Volume of the periodical

38

Issue of the periodical within the volume

2023-5-24

Country of publishing house

US - UNITED STATES

Number of pages

17

Pages from-to

997-1013

UT code for WoS article

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EID of the result in the Scopus database

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