Andre Blessing, Nora Echelmeyer, Markus John, Nils Reiter. 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, Vancouver, Canada, August 2017.
DOI: 10.18653/v1/W17-2208

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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.

BibTeX

@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 } }

RIS

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 PB - Association for Computational Linguistics J2 - Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature ER -