Preface

Autor: Bloothooft, G, Christen, P, Mandemakers, Kees, Schraagen, M, Bloothooft, G., Christen, P., Mandemakers, C.A., Schraagen, M.

Publikováno v: Population Reconstruction, v-vii
STARTPAGE=v;ENDPAGE=vii;TITLE=Population Reconstruction
Population Reconstruction, V-VII
STARTPAGE=V;ENDPAGE=VII;TITLE=Population Reconstruction

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::49c06ee2475632cc0520f43ff9143834
https://pure.knaw.nl/portal/en/publications/ca427102-c503-41ae-b0dc-82ff805a1b45

Multi-source entity resolution for genealogical data

Autor: Efremova, J., Ranjbar-Sahraei, Bijan, Rahmani, H., Oliehoek, F., Calders, T., Tuyls, K., Weiss, G., Boothooft, G., Christen, P., Mandemakers, K., Schraagen, M.

Publikováno v: Population Reconstruction ISBN: 9783319198835
Population Reconstruction
Population reconstruction, 129-154
STARTPAGE=129;ENDPAGE=154;TITLE=Population reconstruction
Population Reconstruction, 129-154
STARTPAGE=129;ENDPAGE=154;TITLE=Population Reconstruction

In this chapter, we study the application of existing entity resolution (er) techniques on a real-world multi-source genealogical dataset. Our goal is to identify all persons involved in various notary acts and link them to their birth, marriage, and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05d0451774235ea77eb53597ebdebbd8
https://doi.org/10.1007/978-3-319-19884-2_7

Lexical modelling for Proper Name Recognition in Autonomata Too

Autor: Réveil, B., Martens, J-P., Heuvel, H. van den, Bloothooft, G., Schraagen, M., Spyns, P., Odijk, J.

Publikováno v: Spyns, P.; Odijk, J. (ed.), Essential Speech and Language Technology for Dutch, pp. Ch. 14, 251-269
Spyns, P.; Odijk, J. (ed.), Essential Speech and Language Technology for Dutch, Ch. 14, 251-269. Berlin : Springer
STARTPAGE=Ch. 14, 251;ENDPAGE=269;TITLE=Spyns, P.; Odijk, J. (ed.), Essential Speech and Language Technology for Dutch

Contains fulltext : 116154.pdf (Publisher’s version ) (Closed access)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::638c32851a77ada47eee4f7298e9a3ed
https://hdl.handle.net/2066/116154

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Complete Coverage for Approximate String Matching in Record Linkage Using Bit Vectors.

Autor: Schraagen, M.

Publikováno v: 2011 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI); 2011, p740-747, 8p