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Who are my ancestors? : retrieving family relationships from historical texts

Authors :
Efremova, I.
Montes Garcia, A.
Bolt Iriondo, A.J.
Calders, T.G.K.
Braslavski, P.
Markov, I.
Pardalos, P.
Volkovich, Y.
Ignatov, D.I.
Koltsov, S.
Koltsova, O.
Process Science
Source :
Communications in Computer and Information Science ISBN: 9783319417172, RuSSIR, Information Retrieval: 9th Russian Summer School, RuSSIR 2015, Saint Petersburg, Russia, August 24-28, 2015, Revised Selected Papers, 121-129, STARTPAGE=121;ENDPAGE=129;TITLE=Information Retrieval
Publication Year :
2015
Publisher :
Springer, 2015.

Abstract

This paper presents an approach for automatically retrieving family relationships from a real-world collection of Dutch historical notary acts. We aim to retrieve relationships like husband - wife, parent - child, widow of, etc. Our approach includes person names extraction, reference disambiguation, candidate generation and family relationship prediction. Since we have a limited amount of training data, we evaluate different feature configurations based on the n-gram analysis. The best results were obtained by using a combination of bi-grams and tri-grams of words together with the distance in words between two names. We evaluate our results for each type of the relationships in terms of precision, recall and \(f-score\).

Details

Language :
English
ISBN :
978-3-319-41717-2
ISBNs :
9783319417172
Database :
OpenAIRE
Journal :
Communications in Computer and Information Science ISBN: 9783319417172, RuSSIR, Information Retrieval: 9th Russian Summer School, RuSSIR 2015, Saint Petersburg, Russia, August 24-28, 2015, Revised Selected Papers, 121-129, STARTPAGE=121;ENDPAGE=129;TITLE=Information Retrieval
Accession number :
edsair.doi.dedup.....7c425f7ccb4d686e45bd656d5172c188