Abstract
The advancement of Natural Language Processing (NLP) allows the process of deriving information from large volumes of text to be automated, making text-based resources more discoverable and useful. The attention is turned to one of the most important, but traditionally difficult to access resources in archaeology; the largely unpublished reports generated by commercial or “rescue” archaeology, commonly known as “grey literature”. The paper presents the development and evaluation of a Named Entity Recognition system of Dutch archaeological grey literature targeted at extracting mentions of artefacts, archaeological features, materials, places and time entities. The role of domain vocabulary is discussed for the development of a KOS-driven NLP pipeline which is evaluated against a Gold Standard, human-annotated corpus.
Original language | English |
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Title of host publication | Communications in Computer and Information Science |
Subtitle of host publication | Metadata and Semantic Research. MTSR 2020 |
Editors | Emmanouel Garoufallou, María-Antonia Ovalle-Perandones |
Place of Publication | Cham |
Publisher | Springer |
Pages | 53-64 |
Number of pages | 12 |
Volume | 1335 |
ISBN (Electronic) | 978-3-030-71903-6 |
ISBN (Print) | 978-3-030-71902-9978-3-030-71903-6 |
DOIs | |
Publication status | Published - 21 Mar 2021 |
Event | Metadata and Semantic Research, 14th International Conference (2020) - Madrid, Spain Duration: 2 Dec 2020 → 4 Dec 2020 Conference number: 14 |
Publication series
Name | Communications in Computer and Information Science |
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Publisher | Springer |
Volume | 1355 |
ISSN (Print) | 1865-0929 |
ISSN (Electronic) | 1865-0937 |
Conference
Conference | Metadata and Semantic Research, 14th International Conference (2020) |
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Abbreviated title | MTSR 2020 |
Country/Territory | Spain |
City | Madrid |
Period | 2/12/20 → 4/12/20 |
Keywords
- named entity recognition
- archaeology
- grey literature
- CIDOC-CRM
- Knowledge Organization Systems