Summary of the paper

Title BiographyNet: Methodological Issues when NLP Supports Historical Research
Authors Antske Fokkens, Serge Ter Braake, Niels Ockeloen, Piek Vossen, Susan Legêne and Guus Schreiber
Abstract When NLP is used to support research in the humanities, new methodological issues come into play. NLP methods may introduce a bias in their analysis that can influence the results of the hypothesis a humanities scholar is testing. This paper addresses this issue in the context of BiographyNet a multi-disciplinary project involving NLP, Linked Data and history. We introduce the project to the NLP community. We argue that it is essential for historians to get insight into the provenance of information, including how information was extracted from text by NLP tools.
Topics Linked Data, Usability, User Satisfaction
Full paper BiographyNet: Methodological Issues when NLP Supports Historical Research
Bibtex @InProceedings{FOKKENS14.1103,
  author = {Antske Fokkens and Serge Ter Braake and Niels Ockeloen and Piek Vossen and Susan Legêne and Guus Schreiber},
  title = {BiographyNet: Methodological Issues when NLP Supports Historical Research},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
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