Effective use of WordNet semantics via kernel-based learning
Roberto Basili, Marco Cammisa, Alessandro Moschitti · 2005
Research on document similarity has shown that complex representations are not more accurate than the simple bag-of-words. Term clustering, e.g. using latent semantic indexing, word co-occurrences or synonym relations using a word ontology have been shown not very effective. In particular, when to extend the similarity function external prior knowledge is used, e.g. WordNet, the retrieval system decreases its performance. The critical issues here are methods and conditions to integrate such knowledge.