%0 Conference Paper %1 blessing-etal-2017-end %A Blessing, Andre %A Echelmeyer, Nora %A John, Markus %A Reiter, Nils %B Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature %C Vancouver, Canada %D 2017 %I Association for Computational Linguistics %K character-detection character-extraction dfg-antrag-steckbriefe imported network %P 57--67 %R 10.18653/v1/W17-2208 %T An End-to-end Environment for Research Question-Driven Entity Extraction and Network Analysis %U https://www.aclweb.org/anthology/W17-2208 %X 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{blessing-etal-2017-end, 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, \textit{Parzival}. Manual inspection and discussion shows the huge impact various choices have.}, added-at = {2020-10-23T09:24:05.000+0200}, address = {Vancouver, Canada}, author = {Blessing, Andre and Echelmeyer, Nora and John, Markus and Reiter, Nils}, biburl = {https://www.bibsonomy.org/bibtex/2ac8ad02d77e9d4dc5df7c3c9c6f9c274/albinzehe}, booktitle = {Proceedings of the Joint {SIGHUM} Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature}, doi = {10.18653/v1/W17-2208}, interhash = {f42a1b0c27d83ee36442330af2f3ffb7}, intrahash = {ac8ad02d77e9d4dc5df7c3c9c6f9c274}, keywords = {character-detection character-extraction dfg-antrag-steckbriefe imported network}, month = aug, pages = {57--67}, publisher = {Association for Computational Linguistics}, timestamp = {2020-10-23T09:32:23.000+0200}, title = {An End-to-end Environment for Research Question-Driven Entity Extraction and Network Analysis}, url = {https://www.aclweb.org/anthology/W17-2208}, year = 2017 }