@inproceedings{Wartena2013,
  author    = {Wartena, Christian},
  title     = {HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures},
  booktitle = {Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)},
  editor    = {Manandhar, Suresh and Yuret, Deniz},
  doi       = {10.25968/opus-2077},
  url       = {https://aclanthology.org/S13-2008.pdf},
  institution = {Fakult{\"a}t III - Medien, Information und Design},
  pages     = {48 -- 52},
  year      = {2013},
  abstract  = {This paper describes the approach of the Hochschule Hannover to the SemEval 2013 Task Evaluating Phrasal Semantics. In order to compare a single word with a two word phrase we compute various distributional similarities, among which a new similarity measure, based on Jensen-Shannon Divergence with a correction for frequency effects. The classification is done by a support vector machine that uses all similarities as features. The approach turned out to be the most successful one in the task.},
  subject      = {Wort},
  language  = {en}
}