Unsupervised Concept Hierarchy Induction : Learning the Semantics of Words

@inproceedings{Klapaftis2009UnsupervisedCH,
  title={Unsupervised Concept Hierarchy Induction : Learning the Semantics of Words},
  author={Ioannis P. Klapaftis},
  year={2009}
}
Unsupervised concept hierarchy induction, or taxonomy learning, is the task of hierarchically classifying word senses in order to develop a taxonomy of concepts. Taxonomies of concepts such as the one found in WordNet (Fellbaum, 1998) are important resources for a variety of Natural Language Processing (NLP) including word sense disambiguation (Ramakrishnan et al., 2004; Navigli & Velardi, 2004b), document clustering (Recupero, 2007) and named entity recognition (Cimiano, 2006). Despite the… CONTINUE READING