Evert, Stefan, Fotis Jannidis, Thomas Proisl, Steffen Pielström, Thorsten Vitt, Christof Schöch, and Isabella Reger. “Understanding and Explaining Delta Measures for Authorship Attribution.” Digital Scholarship in the Humanities, 2017. DOI: 10.1093/llc/fqx023. – PDF – Data and code.
(more…)∞More from: Method: Distance Measures
Büttner, Andreas, Friedrich Michael Dimpel, St. Evert, Fotis Jannidis, Steffen Pielström, Thomas Proisl, Isabella Reger, Christof Schöch, and Thorsten Vitt. “»Delta« in der stilometrischen Autorschaftsattribution.” Zeitschrift für digitale Geisteswissenschaften, 2017. – DOI: 10.17175/2017_006.
∞Schöch, Christof. “Quantitative Analyse.” In Digital Humanities: Eine Einführung, edited by Fotis Jannidis, Hubertus Kohle, and Malte Rehbein, 279–98. Stuttgart: Metzler, 2017.
∞Stefan Evert, Fotis Jannidis, Thomas Proisl, Thorsten Vitt, Christof Schöch, Steffen Pielström, Isabella Reger, “Outliers or Key Profiles? Understanding Distance Measures for Authorship Attribution”, Digital Humanities Conference 2016, Kraków, Poland, 12.-15.7.2016. – URL: https://dh2016.adho.org/abstracts/253. – Data and code.
∞Fotis Jannidis, Steffen Pielström, Christof Schöch und Thorsten Vitt: “Improving Burrows’ Delta. An Empirical Evaluation of Text Distance Measures”. Digital Humanities Conference, University of Western Sydney, Australia, 30.6.-4.7.2015 (long paper). – URL: https://github.com/ADHO/dh2015/.
∞Evert, Stefan, Thomas Proisl, Christof Schöch, Fotis Jannidis, Steffen Pielström, and Thorsten Vitt. “Explaining Delta, or: How Do Distance Measures for Authorship Attribution Work?” In Corpus Linguistics 2015 Abstract Book, edited by Federica Formato and Andrew Hardie. Lancaster: UCREL, 2015. – DOI: 10.5281/zenodo.18308.
∞Evert, Stefan, Thomas Proisl, Fotis Jannidis, Steffen Pielström, Christof Schöch, and Thorsten Vitt. “Towards a Better Understanding of Burrows’s Delta in Literary Authorship Attribution.” In: Fourth Workshop on Computational Linguistics for Literature, at NAACL HLT 2015, 2015. URL: http://www.aclweb.org/anthology/W15-0709. – Data and code.
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