The iDAI.publication: Extracting and Linking Information in the Publications of the German Archaeological Institute (DAI)

Francesco Mambrini

doi:10.4000/books.aaccademia.3456

The iDAI.publication: Extracting and Linking Information in the Publications of the German Archaeological Institute (DAI)

Francesco Mambrini^*

^*Corresponding author

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

Abstract

We present the results of our attempt to use NLP tools in order to identify named entities in the publications of the Deutsches Archäologisches Institute (DAI) and link the identified locations to entries in the iDAI.gazetteer. Our case study focuses on articles written in German and published in the journal Chiron between 1971 and 2014. We describe the annotation pipeline that starts from the digitized texts published in the new portal of the DAI. We evaluate the performances of geoparsing and NER and test an approach to improve the accuracy of the latter.

Original language	English
Title of host publication	Proceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018). 10-12 December 2018, Torino
Publisher	CEUR-WS
Pages	253-257
Number of pages	5
Volume	2253
ISBN (Print)	978-88-31978-41-5
DOIs	https://doi.org/10.4000/books.aaccademia.3456
Publication status	Published - 2018

All Science Journal Classification (ASJC) codes

General Computer Science

Keywords

digital archaeology
entity linking
named entity recognition
text mining

Access to Document

10.4000/books.aaccademia.3456

Cite this

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title = "The iDAI.publication: Extracting and Linking Information in the Publications of the German Archaeological Institute (DAI)",

abstract = "We present the results of our attempt to use NLP tools in order to identify named entities in the publications of the Deutsches Arch{\"a}ologisches Institute (DAI) and link the identified locations to entries in the iDAI.gazetteer. Our case study focuses on articles written in German and published in the journal Chiron between 1971 and 2014. We describe the annotation pipeline that starts from the digitized texts published in the new portal of the DAI. We evaluate the performances of geoparsing and NER and test an approach to improve the accuracy of the latter.",

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booktitle = "Proceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018). 10-12 December 2018, Torino",

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The iDAI.publication: Extracting and Linking Information in the Publications of the German Archaeological Institute (DAI). / Mambrini, Francesco.
Proceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018). 10-12 December 2018, Torino. Vol. 2253 CEUR-WS, 2018. p. 253-257.

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

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AB - We present the results of our attempt to use NLP tools in order to identify named entities in the publications of the Deutsches Archäologisches Institute (DAI) and link the identified locations to entries in the iDAI.gazetteer. Our case study focuses on articles written in German and published in the journal Chiron between 1971 and 2014. We describe the annotation pipeline that starts from the digitized texts published in the new portal of the DAI. We evaluate the performances of geoparsing and NER and test an approach to improve the accuracy of the latter.

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KW - entity linking

KW - named entity recognition

KW - text mining

KW - digital archaeology

KW - entity linking

KW - named entity recognition

KW - text mining

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SN - 978-88-31978-41-5

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BT - Proceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018). 10-12 December 2018, Torino

PB - CEUR-WS

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The iDAI.publication: Extracting and Linking Information in the Publications of the German Archaeological Institute (DAI)

Abstract

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

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