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Who are my ancestors? : retrieving family relationships from historical texts
- 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 \(f-score\).
- Subjects :
- Family relationship
Training set
Recall
business.industry
Computer science
media_common.quotation_subject
Sibling relationship
computer.software_genre
Support vector machine
Support vector machine classifier
Feature (machine learning)
Wife
Artificial intelligence
Data mining
business
computer
Natural language processing
media_common
Subjects
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