Efficient segmentation in multi-layer oscillatory networks
A. Ravishankar Rao, Guillermo A. Cecchi, et al.
IJCNN 2008
The lexicon consists of a set of word meanings and their semantic relationships. A systematic representation of the English lexicon based in psycholinguistic considerations has been put together in the database Wordnet in a long-term collaborative effort. We present here a quantitative study of the graph structure of Wordnet to understand the global organization of the lexicon. Semantic links follow power-law, scale-invariant behaviors typical of self-organizing networks. Polysemy (the ambiguity of an individual word) is one of the links in the semantic network, relating the different meanings of a common word. Polysemous links have a profound impact in the organization of the semantic graph, conforming it as a small world network, with clusters of high traffic (hubs) representing abstract concepts such as line, head, or circle. Our results show that: (i) Wordnet has global properties common to many self-organized systems, and (ii) polysemy organizes the semantic graph in a compact and categorical representation, in a way that may explain the ubiquity of polysemy across languages.
A. Ravishankar Rao, Guillermo A. Cecchi, et al.
IJCNN 2008
Irina Rish, Guillermo A. Cecchi, et al.
SPIE Medical Imaging 2012
Eduardo Castro, Pablo Polosecki, et al.
Movement Disorders
A. Ravishankar Rao, Guillermo A. Cecchi
IJCNN 2011