This paper presents an approach to extract co-occurrence networks from literary texts. It is a deliberate decision not to aim for a fully automatic pipeline, as the literary research questions need to guide both the definition of the nature of the things that co-occur as well as how to decide co-occurrence. We showcase the approach on a Middle High German romance, Parzival. Manual inspection and discussion shows the huge impact various choices have.
@inproceedings{ Blessing2017aa,
Title = {{An End-to-end Environment for Research Question-Driven Entity Extraction and Network Analysis}},
Address = { Vancouver, Canada },
Author = { Andre Blessing and Nora Echelmeyer and Markus John and Nils Reiter },
Booktitle = {{Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature}},
Pages = { 57-67 },
Publisher = { Association for Computational Linguistics },
Url = { http://www.aclweb.org/anthology/W/W17/W17-2208 },
Month = { August },
Doi = { 10.18653/v1/W17-2208 },
Year = { 2017 }
}
TY -
TI - An End-to-end Environment for Research Question-Driven Entity Extraction and Network Analysis
AU - Andre Blessing
AU - Nora Echelmeyer
AU - Markus John
AU - Nils Reiter
PY - 2017
CY - Vancouver, Canada
DO - 10.18653/v1/W17-2208
UR - http://www.aclweb.org/anthology/W/W17/W17-2208
PB - Association for Computational Linguistics
J2 - Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
ER -