Geoparsing the Historical Gazetteers of Scotland: Accurately Computing Location in Mass Digitised Texts

Rosa Filgueira Vicente; Claire Grover; Melissa Terras; Beatrice Alex

Geoparsing the Historical Gazetteers of Scotland: Accurately Computing Location in Mass Digitised Texts

Rosa Filgueira Vicente, Claire Grover, Melissa Terras, Beatrice Alex

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

Abstract / Description of output

This paper describes work in progress on devising automatic and parallel methods for geoparsing large digital historical textual data by combining the strengths of three natural language processing (NLP) tools, the Edinburgh Geoparser, spaCy and defoe, and employing different tokenisation and named entity recognition (NER) techniques. We apply these tools to a large collection of nineteenth century Scottish geographical dictionaries, and describe preliminary results obtained when processing this data.

Original language	English
Title of host publication	Proceedings of the 8th Workshop on Challenges in the Management of Large Corpora
Place of Publication	Marseille, France
Publisher	European Language Resources Association (ELRA)
Pages	24–30
Number of pages	7
ISBN (Electronic)	979-10-95546-61-0
Publication status	Published - 16 May 2020
Event	8th Workshop on the Challenges in the Management of Large Corpora - Duration: 16 May 2020 → 16 May 2020 http://corpora.ids-mannheim.de/cmlc-2020.html

Workshop

Workshop	8th Workshop on the Challenges in the Management of Large Corpora
Abbreviated title	CMLC-8
Period	16/05/20 → 16/05/20
Internet address	http://corpora.ids-mannheim.de/cmlc-2020.html

Keywords / Materials (for Non-textual outputs)

text mining
geoparsing
historical text
Gazetteers of Scotland
distributed queries
Apache Spar
digital tools

Access to Document

Geoparsing the historical Gazetteers_FILGUEIRA_DOA12032020_AFVAccepted author manuscript, 4.33 MBLicence: All Rights Reserved
Geoparsing the Historical_FILGUEIRA_DOA12032020_VOR_CC-BY-NCFinal published version, 4.5 MBLicence: Creative Commons: Attribution Non-Commercial (CC-BY-NC)

https://www.aclweb.org/anthology/2020.cmlc-1.4Licence: Creative Commons: Attribution Non-Commercial (CC-BY-NC)

Cite this

@inproceedings{d715474282dd482ca7bc5b2f792fd0f4,

title = "Geoparsing the Historical Gazetteers of Scotland: Accurately Computing Location in Mass Digitised Texts",

abstract = "This paper describes work in progress on devising automatic and parallel methods for geoparsing large digital historical textual data by combining the strengths of three natural language processing (NLP) tools, the Edinburgh Geoparser, spaCy and defoe, and employing different tokenisation and named entity recognition (NER) techniques. We apply these tools to a large collection of nineteenth century Scottish geographical dictionaries, and describe preliminary results obtained when processing this data.",

keywords = "text mining, geoparsing, historical text, Gazetteers of Scotland, distributed queries, Apache Spar, digital tools",

author = "{Filgueira Vicente}, Rosa and Claire Grover and Melissa Terras and Beatrice Alex",

year = "2020",

month = may,

day = "16",

language = "English",

pages = "24–30",

booktitle = "Proceedings of the 8th Workshop on Challenges in the Management of Large Corpora",

publisher = "European Language Resources Association (ELRA)",

note = "8th Workshop on the Challenges in the Management of Large Corpora, CMLC-8 ; Conference date: 16-05-2020 Through 16-05-2020",

url = "http://corpora.ids-mannheim.de/cmlc-2020.html",

}

Filgueira Vicente, R , Grover, C , Terras, M & Alex, B 2020, Geoparsing the Historical Gazetteers of Scotland: Accurately Computing Location in Mass Digitised Texts. in Proceedings of the 8th Workshop on Challenges in the Management of Large Corpora. European Language Resources Association (ELRA), Marseille, France, pp. 24–30, 8th Workshop on the Challenges in the Management of Large Corpora, 16/05/20. <https://www.aclweb.org/anthology/2020.cmlc-1.4>

Geoparsing the Historical Gazetteers of Scotland: Accurately Computing Location in Mass Digitised Texts. / Filgueira Vicente, Rosa ; Grover, Claire ; Terras, Melissa et al.
Proceedings of the 8th Workshop on Challenges in the Management of Large Corpora. Marseille, France: European Language Resources Association (ELRA), 2020. p. 24–30.

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

TY - GEN

T1 - Geoparsing the Historical Gazetteers of Scotland: Accurately Computing Location in Mass Digitised Texts

AU - Filgueira Vicente, Rosa

AU - Grover, Claire

AU - Terras, Melissa

AU - Alex, Beatrice

PY - 2020/5/16

Y1 - 2020/5/16

N2 - This paper describes work in progress on devising automatic and parallel methods for geoparsing large digital historical textual data by combining the strengths of three natural language processing (NLP) tools, the Edinburgh Geoparser, spaCy and defoe, and employing different tokenisation and named entity recognition (NER) techniques. We apply these tools to a large collection of nineteenth century Scottish geographical dictionaries, and describe preliminary results obtained when processing this data.

AB - This paper describes work in progress on devising automatic and parallel methods for geoparsing large digital historical textual data by combining the strengths of three natural language processing (NLP) tools, the Edinburgh Geoparser, spaCy and defoe, and employing different tokenisation and named entity recognition (NER) techniques. We apply these tools to a large collection of nineteenth century Scottish geographical dictionaries, and describe preliminary results obtained when processing this data.

KW - text mining

KW - geoparsing

KW - historical text

KW - Gazetteers of Scotland

KW - distributed queries

KW - Apache Spar

KW - digital tools

M3 - Conference contribution

SP - 24

EP - 30

BT - Proceedings of the 8th Workshop on Challenges in the Management of Large Corpora

PB - European Language Resources Association (ELRA)

CY - Marseille, France

T2 - 8th Workshop on the Challenges in the Management of Large Corpora

Y2 - 16 May 2020 through 16 May 2020

ER -

Geoparsing the Historical Gazetteers of Scotland: Accurately Computing Location in Mass Digitised Texts

Abstract / Description of output

Workshop

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Cite this