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

Computer Science and Informatics Research and Innovation Group

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i gynhadledd › adolygiad gan gymheiriaid

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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is turned to one of the most important, but traditionally difficult to access resources in archaeology; the largely unpublished reports generated by commercial or “rescue” archaeology, commonly known as “grey literature”.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.

Iaith wreiddiol	Saesneg
Teitl	Communications in Computer and Information Science
Is-deitl	Metadata and Semantic Research. MTSR 2020
Golygyddion	Emmanouel Garoufallou, María-Antonia Ovalle-Perandones
Man cyhoeddi	Cham
Cyhoeddwr	Springer
Tudalennau	53-64
Nifer y tudalennau	12
Cyfrol	1335
ISBN (Electronig)	978-3-030-71903-6
ISBN (Argraffiad)	978-3-030-71902-9978-3-030-71903-6
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1007/978-3-030-71903-6_6
Statws	Cyhoeddwyd - 21 Maw 2021
Digwyddiad	Metadata and Semantic Research, 14th International Conference (2020) - Madrid, Sbaen Hyd: 2 Rhag 2020 → 4 Rhag 2020 Rhif y gynhadledd: 14

Cyfres gyhoeddiadau

Enw	Communications in Computer and Information Science
Cyhoeddwr	Springer
Cyfrol	1355
ISSN (Argraffiad)	1865-0929
ISSN (Electronig)	1865-0937

Cynhadledd

Cynhadledd	Metadata and Semantic Research, 14th International Conference (2020)
Teitl cryno	MTSR 2020
Gwlad/Tiriogaeth	Sbaen
Dinas	Madrid
Cyfnod	2/12/20 → 4/12/20

Mynediad at Ddogfen

10.1007/978-3-030-71903-6_6Trwydded: Amhenodol

Dyfynnu hyn

Vlachidis, A., Tudhope, D., & Wansleeben, M. (2021). Knowledge-Based Named Entity Recognition of Archaeological Concepts in Dutch. Yn E. Garoufallou, & M-A. Ovalle-Perandones (Gol.), Communications in Computer and Information Science: Metadata and Semantic Research. MTSR 2020 (Cyfrol 1335, tt. 53-64). (Communications in Computer and Information Science; Cyfrol 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. Gol. / Emmanouel Garoufallou ; María-Antonia Ovalle-Perandones. Cyfrol 1335 Cham : Springer, 2021. tt. 53-64 (Communications in Computer and Information Science).

@inproceedings{8c7765641c15476296bcafbae5312482,

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",

year = "2021",

month = mar,

day = "21",

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

language = "English",

isbn = "978-3-030-71902-9978-3-030-71903-6",

volume = "1335",

series = "Communications in Computer and Information Science",

publisher = "Springer",

pages = "53--64",

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

booktitle = "Communications in Computer and Information Science",

address = "Germany",

}

Vlachidis, A, Tudhope, D & Wansleeben, M 2021, Knowledge-Based Named Entity Recognition of Archaeological Concepts in Dutch. yn E Garoufallou & M-A Ovalle-Perandones (gol.), Communications in Computer and Information Science: Metadata and Semantic Research. MTSR 2020. cyfrol. 1335, Communications in Computer and Information Science, cyfrol. 1355, Springer, Cham, tt. 53-64, Metadata and Semantic Research, 14th International Conference (2020), Madrid, Sbaen, 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. gol. / Emmanouel Garoufallou; María-Antonia Ovalle-Perandones. Cyfrol 1335 Cham : Springer, 2021. t. 53-64 (Communications in Computer and Information Science; Cyfrol 1355).

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i gynhadledd › adolygiad gan gymheiriaid

TY - GEN

T1 - Knowledge-Based Named Entity Recognition of Archaeological Concepts in Dutch

AU - Vlachidis, Andreas

AU - Tudhope, Douglas

AU - Wansleeben, Milco

N1 - Conference code: 14

PY - 2021/3/21

Y1 - 2021/3/21

N2 - 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.

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.

KW - named entity recognition

KW - archaeology

KW - grey literature

KW - CIDOC-CRM

KW - Knowledge Organization Systems

U2 - 10.1007/978-3-030-71903-6_6

DO - 10.1007/978-3-030-71903-6_6

M3 - Conference contribution

SN - 978-3-030-71902-9978-3-030-71903-6

VL - 1335

T3 - Communications in Computer and Information Science

SP - 53

EP - 64

BT - Communications in Computer and Information Science

A2 - Garoufallou, Emmanouel

A2 - Ovalle-Perandones, María-Antonia

PB - Springer

CY - Cham

T2 - Metadata and Semantic Research, 14th International Conference (2020)

Y2 - 2 December 2020 through 4 December 2020

ER -

Vlachidis A, Tudhope D, Wansleeben M. Knowledge-Based Named Entity Recognition of Archaeological Concepts in Dutch. Yn Garoufallou E, Ovalle-Perandones M-A, golygyddion, Communications in Computer and Information Science: Metadata and Semantic Research. MTSR 2020. Cyfrol 1335. Cham: Springer. 2021. t. 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

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