Calders, T.G.K.

Efremova, I.

English

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 Extraction of family relationships from historical documentsCitation for published version (APA):Efremova, I., & Calders, T. G. K. (2015). Extraction of family relationships from historical documents. 1. Abstractfrom Dutch-Belgian Database Day 2015 (DBDBD 2015), December 16, 2015, Amsterdam, The Netherlands,Amsterdam, Netherlands.Document status and date:Published: 01/01/2015Document Version:Publisher’s PDF, also known as Version of Record (includes final page, issue and volume numbers)Please check the document version of this publication:• A submitted manuscript is the version of the article upon submission and before peer-review. There can beimportant differences between the submitted version and the official published version of record. Peopleinterested in the research are advised to contact the author for the final version of the publication, or visit theDOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and pagenumbers.Link to publicationGeneral rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright ownersand it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.            • Users may download and print one copy of any publication from the public portal for the purpose of private study or research.            • You may not further distribute the material or use it for any profit-making activity or commercial gain            • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license above, pleasefollow below link for the End User Agreement:www.tue.nl/taverneTake down policyIf you believe that this document breaches copyright please contact us at:openaccess@tue.nlproviding details and we will investigate your claim.Download date: 17. Nov. 2023Extraction of family relationships from historical documentsJulia Efremova∗1 and Toon Calders†21Eindhoven University of Technology, The Netherlands2Université Libre de Bruxelles, BelgiumIn this work we present an approach for the automatic extraction of family relationshipsfrom a real-world collection of historical notary acts. We retrieve relationships such as husband- wife, parent - child, widow of, etc. We study two ways to deal with this problem. In our firstapproach, we identify all person names in a document, generate all potential candidate pairs ofnames and predict whether they are related to each other using classification techniques wherethe text fragments that occur around and between two names are sued as features.In the second approach, we train and apply a Hidden Markov Model to annotate everyword in a document with an appropriate tag indicating if it is a name, a specified relationshipdescriptor, or neither of these. Then we look for the names connected to each other via relation-ship descriptors. We discuss the challenges such as processing raw data, obtaining a sufficientamount of training examples, and dealing with an imbalanced and noisy collection. We evaluateour results for each relationship type in terms of precision, recall and f - score.Problem illustration. Below is an example of a notary act that has the husband-wife rela-tionship (person names are underlined and relationships are in bold):Dit document certificeert: Jan de Jager en zijn vrouw Hendrina Jacobs, verklaren afs-tand te doen van alle rechten van de akte van koop en verkoop van 02/10/1906, opgemaaktvoor notaris van Breda, ten behoeve van Dirk van Doorn, winkelier te Uden.This document certifies: Jan de Jager and his wife Hendrina Jacobs, declare to waive allrights of the act of sale and purchase of 02/10/1906, registered at the notary Breda, withbeneficiary Dirk van Doorn, shopkeeper in Uden.We see, that there are three persons mentioned in the document and the two of them havethe husband-wife relationship:People extraction from documents and prediction of their relationships are the main goals ofthis work. Details of applied techniques for family relationship extraction presented in researchpapers [2, 1].References[1] Julia Efremova, Alejandro Montes Garcia, Alfredo Jos Bolt Iriondo, and Toon Calders. Who are my ancestors?retrieving family relationships from historical texts. In 9th Summer School in Information Retrieval and YoungScientist Conference (RuSSIR’15), 2015.[2] Julia Efremova, Alejandro Montes Garcia, Jianpeng Zhang, and Toon Calders. Towards population reconstruction: ex-traction of family relationships from historical documents. In First International Workshop on Population Informaticsfor Big Data (21th ACM-SIGKDD PopInfo’15), 2015.∗i.efremova@tue.nl†toon.calders@ulb.ac.be1

Extraction of family relationships from historical documents

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 Extraction of family relationships from historical documentsCitation for published version (APA):Efremova, I., & Calders, T. G. K. (2015). Extraction of family relationships from historical documents. 1. Abstractfrom Dutch-Belgian Database Day 2015 (DBDBD 2015), December 16, 2015, Amsterdam, The Netherlands,Amsterdam, Netherlands.Document status and date:Published: 01/01/2015Document Version:Publisher’s PDF, also known as Version of Record (includes final page, issue and volume numbers)Please check the document version of this publication:• A submitted manuscript is the version of the article upon submission and before peer-review. There can beimportant differences between the submitted version and the official published version of record. Peopleinterested in the research are advised to contact the author for the final version of the publication, or visit theDOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and pagenumbers.Link to publicationGeneral rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright ownersand it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.            • Users may download and print one copy of any publication from the public portal for the purpose of private study or research.            • You may not further distribute the material or use it for any profit-making activity or commercial gain            • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license above, pleasefollow below link for the End User Agreement:www.tue.nl/taverneTake down policyIf you believe that this document breaches copyright please contact us at:openaccess@tue.nlproviding details and we will investigate your claim.Download date: 15. Jul. 2024Extraction of family relationships from historical documentsJulia Efremova∗1 and Toon Calders†21Eindhoven University of Technology, The Netherlands2Université Libre de Bruxelles, BelgiumIn this work we present an approach for the automatic extraction of family relationshipsfrom a real-world collection of historical notary acts. We retrieve relationships such as husband- wife, parent - child, widow of, etc. We study two ways to deal with this problem. In our firstapproach, we identify all person names in a document, generate all potential candidate pairs ofnames and predict whether they are related to each other using classification techniques wherethe text fragments that occur around and between two names are sued as features.In the second approach, we train and apply a Hidden Markov Model to annotate everyword in a document with an appropriate tag indicating if it is a name, a specified relationshipdescriptor, or neither of these. Then we look for the names connected to each other via relation-ship descriptors. We discuss the challenges such as processing raw data, obtaining a sufficientamount of training examples, and dealing with an imbalanced and noisy collection. We evaluateour results for each relationship type in terms of precision, recall and f - score.Problem illustration. Below is an example of a notary act that has the husband-wife rela-tionship (person names are underlined and relationships are in bold):Dit document certificeert: Jan de Jager en zijn vrouw Hendrina Jacobs, verklaren afs-tand te doen van alle rechten van de akte van koop en verkoop van 02/10/1906, opgemaaktvoor notaris van Breda, ten behoeve van Dirk van Doorn, winkelier te Uden.This document certifies: Jan de Jager and his wife Hendrina Jacobs, declare to waive allrights of the act of sale and purchase of 02/10/1906, registered at the notary Breda, withbeneficiary Dirk van Doorn, shopkeeper in Uden.We see, that there are three persons mentioned in the document and the two of them havethe husband-wife relationship:People extraction from documents and prediction of their relationships are the main goals ofthis work. Details of applied techniques for family relationship extraction presented in researchpapers [2, 1].References[1] Julia Efremova, Alejandro Montes Garcia, Alfredo Jos Bolt Iriondo, and Toon Calders. Who are my ancestors?retrieving family relationships from historical texts. In 9th Summer School in Information Retrieval and YoungScientist Conference (RuSSIR’15), 2015.[2] Julia Efremova, Alejandro Montes Garcia, Jianpeng Zhang, and Toon Calders. Towards population reconstruction: ex-traction of family relationships from historical documents. In First International Workshop on Population Informaticsfor Big Data (21th ACM-SIGKDD PopInfo’15), 2015.∗i.efremova@tue.nl†toon.calders@ulb.ac.be1

Extraction of family relationships from historical documents

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