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^*

^*Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in libro › Contributo a conferenza

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.

Lingua originale	Inglese
Titolo della pubblicazione ospite	Proceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018). 10-12 December 2018, Torino
Editore	CEUR-WS
Pagine	253-257
Numero di pagine	5
Volume	2253
ISBN (stampa)	978-88-31978-41-5
DOI	https://doi.org/10.4000/books.aaccademia.3456
Stato di pubblicazione	Pubblicato - 2018

All Science Journal Classification (ASJC) codes

Informatica Generale

Keywords

digital archaeology
entity linking
named entity recognition
text mining

Accesso al documento

10.4000/books.aaccademia.3456

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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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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. pag. 253-257.

Risultato della ricerca: Contributo in libro › Contributo a conferenza

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KW - entity linking

KW - named entity recognition

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KW - entity linking

KW - named entity recognition

KW - text mining

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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

Accesso al documento

Altri file e collegamenti

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