@inproceedings{zeller:2013,
  abstract = {Derivational models are still an under-researched area in computational morphology. Even for German, a rather resource-rich language, there is a lack of large-coverage derivational knowledge. This paper describes a rule-based framework for inducing derivational families (i.e., clusters of lemmas in derivational relationships) and its application to create a high-coverage German resource, DERIVBASE, mapping over 280k lemmas into more than 17k non-singleton clusters. We focus on the rule component and a qualitative and quantitative evaluation. Our approach achieves up to 93\% precision and 71\% recall. We attribute the high precision to the fact that our rules are based on information from grammar books.},
  added-at = {2017-04-03T19:28:28.000+0200},
  address = {Sofia, Bulgaria},
  author = {Zeller, Britta D. and \v{S}najder, Jan and Pad{\'o}, Sebastian},
  biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2cf864dcc94fe3d18d93309af2d8f2cfa/sp},
  booktitle = {Proceedings of ACL},
  interhash = {45746e3b846ceee5060bf5d7aedfd2c6},
  intrahash = {cf864dcc94fe3d18d93309af2d8f2cfa},
  keywords = {conference myown},
  pages = {1201--1211},
  timestamp = {2024-02-22T12:36:39.000+0100},
  title = {{DErivBase}: Inducing and Evaluating a Derivational
                  Morphology Resource for {G}erman},
  url = {http://www.aclweb.org/anthology/P13-1118.pdf},
  year = 2013
}