%0 Conference Paper %1 conf/conll/TschuggnallMS19 %A Tschuggnall, Michael %A Murauer, Benjamin %A Specht, Günther %B CoNLL %D 2019 %E Bansal, Mohit %E Villavicencio, Aline %I Association for Computational Linguistics %K dblp %P 951-960 %T Reduce & Attribute: Two-Step Authorship Attribution for Large-Scale Problems. %U http://dblp.uni-trier.de/db/conf/conll/conll2019.html#TschuggnallMS19 %@ 978-1-950737-72-7

@inproceedings{conf/conll/TschuggnallMS19, added-at = {2020-11-10T00:00:00.000+0100}, author = {Tschuggnall, Michael and Murauer, Benjamin and Specht, Günther}, biburl = {https://www.bibsonomy.org/bibtex/2056238e2b66ed4671587d4cf1fe3f652/dblp}, booktitle = {CoNLL}, crossref = {conf/conll/2019}, editor = {Bansal, Mohit and Villavicencio, Aline}, ee = {https://doi.org/10.18653/v1/K19-1089}, interhash = {c4a0f8f12d4aaca3fb7693ed834e1eff}, intrahash = {056238e2b66ed4671587d4cf1fe3f652}, isbn = {978-1-950737-72-7}, keywords = {dblp}, pages = {951-960}, publisher = {Association for Computational Linguistics}, timestamp = {2024-04-09T23:05:27.000+0200}, title = {Reduce & Attribute: Two-Step Authorship Attribution for Large-Scale Problems.}, url = {http://dblp.uni-trier.de/db/conf/conll/conll2019.html#TschuggnallMS19}, year = 2019 }