Modelling linguistic vagueness and uncertainty in historical texts

Cristina Vertan


Abstract
Many applications in Digital Humanities (DH) rely on annotations of the raw material. These annotations (inferred automatically or done manually) assume that labelled facts are either true or false, thus all inferences started on such annotations us boolean logic. This contradicts hermeneutic principles used by humanites in which most part of the knowledge has a degree of truth which varies depending on the experience and the world knowledge of the interpreter. In this paper we will show how uncertainty and vagueness, two main features of any historical text can be encoded in annotations and thus be considered by DH applications.
Anthology ID:
W19-9007
Volume:
Proceedings of the Workshop on Language Technology for Digital Historical Archives
Month:
September
Year:
2019
Address:
Varna, Bulgaria
Venues:
RANLP | WS
SIG:
Publisher:
INCOMA Ltd.
Note:
Pages:
34–38
Language:
URL:
https://aclanthology.org/W19-9007
DOI:
10.26615/978-954-452-059-5_007
Bibkey:
Cite (ACL):
Cristina Vertan. 2019. Modelling linguistic vagueness and uncertainty in historical texts. In Proceedings of the Workshop on Language Technology for Digital Historical Archives, pages 34–38, Varna, Bulgaria. INCOMA Ltd..
Cite (Informal):
Modelling linguistic vagueness and uncertainty in historical texts (Vertan, 2019)
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PDF:
https://preview.aclanthology.org/update-css-js/W19-9007.pdf