@InProceedings{panchenko-EtAl:2017:SENSE2017,
  author    = {Panchenko, Alexander  and  Faralli, Stefano  and  Ponzetto, Simone Paolo  and  Biemann, Chris},
  title     = {Using Linked Disambiguated Distributional Networks for Word Sense Disambiguation},
  booktitle = {Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {72--78},
  abstract  = {We introduce a new method for unsupervised knowledge-based word sense
	disambiguation (WSD) based on a resource that links two types of sense-aware
	lexical networks: one is induced from a corpus using distributional semantics,
	the other is manually constructed. The combination of two networks reduces the
	sparsity of sense representations used for WSD. We evaluate these enriched
	representations within two lexical sample sense disambiguation benchmarks. Our
	results indicate that (1) features extracted from the corpus-based resource
	help to significantly outperform a model based solely on the lexical resource;
	(2) our method achieves results comparable or better to four state-of-the-art
	unsupervised knowledge-based WSD systems including three hybrid systems that
	also rely on text corpora. In contrast to these hybrid methods, our approach
	does not require access to web search engines, texts mapped to a sense
	inventory, or machine translation systems.},
  url       = {http://www.aclweb.org/anthology/W17-1909}
}