An End-to-end Environment for Research Question-Driven Entity Extraction and Network Analysis

Andre Blessing, Nora Echelmeyer, Markus John, Nils Reiter


Abstract
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.
Anthology ID:
W17-2208
Volume:
Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
Month:
August
Year:
2017
Address:
Vancouver, Canada
Venue:
LaTeCH
SIG:
SIGHUM
Publisher:
Association for Computational Linguistics
Note:
Pages:
57–67
Language:
URL:
https://aclanthology.org/W17-2208
DOI:
10.18653/v1/W17-2208
Bibkey:
Cite (ACL):
Andre Blessing, Nora Echelmeyer, Markus John, and Nils Reiter. 2017. An End-to-end Environment for Research Question-Driven Entity Extraction and Network Analysis. In Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 57–67, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):
An End-to-end Environment for Research Question-Driven Entity Extraction and Network Analysis (Blessing et al., LaTeCH 2017)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/W17-2208.pdf