@incollection{F{\"u}rbacherSchneider2018,
  author    = {F{\"u}rbacher, Monica and Schneider, Roman},
  title     = {GeCoTagger: annotation of German verb complements with conditional random fields},
  booktitle = {Proceedings of the eleventh international conference on language resources and evaluation (LREC 2018), 7-12 May 2018, Miyazaki, Japan},
  editor    = {Calzolari, Nicoletta and Choukri, Khalid and Cieri, Christopher and Declerck, Thierry and Goggi, Sara and Hasida, Koiti and Isahara, Hitoshi and Maegaard, Bente and Mariani, Joseph and Mazo, H{\´e}l{\`e}ne and Moreno, Asuncion and Odijk, Jan and Piperidis, Stelios and Tokunaga, Takenobu},
  isbn      = {979-10-95546-00-9},
  url       = {http://www.lrec-conf.org/proceedings/lrec2018/summaries/73.html},
  pages     = {2169 -- 2174},
  year      = {2018},
  abstract  = {Complement phrases are essential for constructing well-formed sentences in German. Identifying verb complements and categorizing complement classes is challenging even for linguists who are specialized in the field of verb valency. Against this background, we introduce an ML-based algorithm which is able to identify and classify complement phrases of any German verb in any written sentence context. We use a large training set consisting of example sentences from a valency dictionary, enriched with POS tagging, and the ML-based technique of Conditional Random Fields (CRF) to generate the classification models.},
  subject      = {Grammatik},
  language  = {en}
}