@InProceedings{ustalov-panchenko-biemann:2017:Long,
  author    = {Ustalov, Dmitry  and  Panchenko, Alexander  and  Biemann, Chris},
  title     = {Watset: Automatic Induction of Synsets from a Graph of Synonyms},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {1579--1590},
  abstract  = {This paper presents a new graph-based approach that induces synsets using
	synonymy dictionaries and word embeddings. First, we build a weighted graph of
	synonyms extracted from commonly available resources, such as Wiktionary.
	Second, we apply word sense induction to deal with ambiguous words. Finally, we
	cluster the disambiguated version of the ambiguous input graph into synsets.
	Our meta-clustering approach lets us use an efficient hard clustering algorithm
	to perform a fuzzy clustering of the graph. Despite its simplicity, our
	approach shows excellent results, outperforming five competitive
	state-of-the-art methods in terms of F-score on three gold standard datasets
	for English and Russian derived from large-scale manually constructed lexical
	resources.},
  url       = {http://aclweb.org/anthology/P17-1145}
}