@incollection{HansenSchneider2016,
  author    = {Sandra Hansen and Roman Schneider},
  title     = {Decision Tree-Based Evaluation of Genitive Classification – An Empirical Study on CMC and Text Corpora. Language Processing and Knowledge in the Web},
  series = {Language Processing and Knowledge in the Web. 25th International Conference, GSCL 2013, Darmstadt, Germany, September 25-27, 2013. Proceedings},
  editor    = {Gurevych Iryna and Chris Biemann and Torsten Zesch},
  publisher = {Springer},
  address   = {Berlin/Heidelberg},
  isbn      = {978-3-642-40721-5},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-48115},
  pages     = {83 -- 88},
  year      = {2016},
  abstract  = {Contemporary studies on the characteristics of natural language benefit enormously from the increasing amount of linguistic corpora. Aside from text and speech corpora, corpora of computer-mediated communication (CMC) Position themselves between orality and literacy, and beyond that provide in- sight into the impact of \"new\", mainly intemet-based media on language beha- viour. In this paper, we present an empirical attempt to work with annotated CMC corpora for the explanation of linguistic phenomena. In concrete terms, we implement machine leaming algorithms to produce decision trees that reveal rules and tendencies about the use of genitive markers in German.},
  language  = {en}
}