BiographyNet: Extracting Relations Between People and Events.

arXiv: Computation and Language(2018)

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摘要
This paper describes BiographyNet, a digital humanities project (2012-2016) that brings together researchers from history, computational linguistics and computer science. The project uses data from the Biography Portal of the Netherlands (BPN), which contains approximately 125,000 biographies from a variety of Dutch biographical dictionaries from the eighteenth century until now, describing around 76,000 individuals. BiographyNetu0027s aim is to strengthen the value of the portal and comparable biographical datasets for historical research, by improving the search options and the presentation of its outcome, with a historically justified NLP pipeline that works through a user evaluated demonstrator. The projectu0027s main target group are professional historians. The project therefore worked with two key concepts: ``provenanceu0027u0027 -understood as a term allowing for both historical source criticism and for references to data-management and programming interventions in digitized sources; and ``perspectiveu0027u0027 interpreted as inherent uncertainty concerning the interpretation of historical results.
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