Knowledge-Based Named Entity Recognition of Archaeological Concepts in Dutch

Andreas Vlachidis; Douglas Tudhope; Milco Wansleeben

doi:10.1007/978-3-030-71903-6_6

Knowledge-Based Named Entity Recognition of Archaeological Concepts in Dutch

Andreas Vlachidis, Douglas Tudhope, Milco Wansleeben

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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is turned to one of the most important, but traditionally difficult to access resources in archaeology; the largely unpublished reports generated by commercial or “rescue” archaeology, commonly known as “grey literature”.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
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	https://doi.org/10.1007/978-3-030-71903-6_6
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
Publisher	Springer
Volume	1355
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	Metadata and Semantic Research, 14th International Conference (2020)
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

Access to Document

10.1007/978-3-030-71903-6_6Licence: Unspecified

Cite this

Vlachidis, A., Tudhope, D., & Wansleeben, M. (2021). Knowledge-Based Named Entity Recognition of Archaeological Concepts in Dutch. In E. Garoufallou, & M-A. Ovalle-Perandones (Eds.), Communications in Computer and Information Science: Metadata and Semantic Research. MTSR 2020 (Vol. 1335, pp. 53-64). (Communications in Computer and Information Science; Vol. 1355). Springer. https://doi.org/10.1007/978-3-030-71903-6_6

Vlachidis, Andreas ; Tudhope, Douglas ; Wansleeben, Milco. / Knowledge-Based Named Entity Recognition of Archaeological Concepts in Dutch. Communications in Computer and Information Science: Metadata and Semantic Research. MTSR 2020. editor / Emmanouel Garoufallou ; María-Antonia Ovalle-Perandones. Vol. 1335 Cham : Springer, 2021. pp. 53-64 (Communications in Computer and Information Science).

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title = "Knowledge-Based Named Entity Recognition of Archaeological Concepts in Dutch",

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.",

keywords = "named entity recognition, archaeology, grey literature, CIDOC-CRM, Knowledge Organization Systems",

author = "Andreas Vlachidis and Douglas Tudhope and Milco Wansleeben",

note = "This work was supported by the European Commission under the Community{\textquoteright}s Seventh Framework Programme, contract no. FP7-INFRASTRUCTURES-2012-1-313193 (the ARIADNE project). Thanks, are due to ARIADNE project partners from Leiden University who helped with the definition of the Gold standard Not being considered for REF submission as paper superseded by a later paper. NR 04/08/22 ; Metadata and Semantic Research, 14th International Conference (2020), MTSR 2020 ; Conference date: 02-12-2020 Through 04-12-2020",

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doi = "10.1007/978-3-030-71903-6_6",

language = "English",

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volume = "1335",

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editor = "Emmanouel Garoufallou and Mar{\'i}a-Antonia Ovalle-Perandones",

booktitle = "Communications in Computer and Information Science",

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Vlachidis, A, Tudhope, D & Wansleeben, M 2021, Knowledge-Based Named Entity Recognition of Archaeological Concepts in Dutch. in E Garoufallou & M-A Ovalle-Perandones (eds), Communications in Computer and Information Science: Metadata and Semantic Research. MTSR 2020. vol. 1335, Communications in Computer and Information Science, vol. 1355, Springer, Cham, pp. 53-64, Metadata and Semantic Research, 14th International Conference (2020), Madrid, Spain, 2/12/20. https://doi.org/10.1007/978-3-030-71903-6_6

Knowledge-Based Named Entity Recognition of Archaeological Concepts in Dutch. / Vlachidis, Andreas; Tudhope, Douglas; Wansleeben, Milco.

Communications in Computer and Information Science: Metadata and Semantic Research. MTSR 2020. ed. / Emmanouel Garoufallou; María-Antonia Ovalle-Perandones. Vol. 1335 Cham : Springer, 2021. p. 53-64 (Communications in Computer and Information Science; Vol. 1355).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Vlachidis A, Tudhope D, Wansleeben M. Knowledge-Based Named Entity Recognition of Archaeological Concepts in Dutch. In Garoufallou E, Ovalle-Perandones M-A, editors, Communications in Computer and Information Science: Metadata and Semantic Research. MTSR 2020. Vol. 1335. Cham: Springer. 2021. p. 53-64. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-71903-6_6

Knowledge-Based Named Entity Recognition of Archaeological Concepts in Dutch

Abstract

Publication series

Conference

Keywords

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Cite this