On power-law relationships of the Internet topology
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Small worlds: the dynamics of networks between order and randomness
Small worlds: the dynamics of networks between order and randomness
Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
Scaling distributional similarity to large corpora
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Differentiating homonymy and polysemy in information retrieval
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
An investigation on polysemy and lexical organization of verbs
CN '10 Proceedings of the NAACL HLT 2010 First Workshop on Computational Neurolinguistics
| Hi-index | 0.00 |
Semantic networks have been used successfully to explain access to the mental lexicon. Topological analyses of these networks have focused on acquisition and generation. We extend this work to look at models that distinguish semantic relations. We find the scale-free properties of association networks are not found in synonymy-homonymy networks, and that this is consistent with studies of childhood acquisition of these relationships. We further find that distributional models of language acquisition display similar topological properties to these networks.