@InProceedings{petersen-hellwig:2016:COLING,
  author    = {Petersen, Wiebke  and  Hellwig, Oliver},
  title     = {Exploring the value space of attributes: Unsupervised bidirectional clustering of adjectives in German},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {2839--2848},
  abstract  = {The paper presents an iterative bidirectional clustering of adjectives and
	nouns based on a co-occurrence matrix. The clustering method combines a Vector
	Space Models (VSM) and the results of a Latent Dirichlet Allocation (LDA),
	whose results are merged in each iterative step. The aim is to derive a
	clustering of German adjectives that reflects latent semantic classes of
	adjectives, and that can be used to induce frame-based representations of nouns
	in a later step.
	We are able to show that the method induces meaningful groups of adjectives,
	and that it outperforms a baseline k-means algorithm.},
  url       = {http://aclweb.org/anthology/C16-1267}
}