Name
Abstract | ||
|---|---|---|
This work proposes a basic framework for resolving sense disambiguation through the use of Semantic Lexicon, a machine readable dictionary managing both word senses and lexico-semantic relations. More specifically, polysemous ambiguity characterizing Web documents is discussed. The adopted Semantic Lexicon is WordNet, a lexical knowledge-base of English words widely adopted in many research studies referring to knowledge discovery. The proposed approach extends recent works on knowledge discovery by focusing on the sense disambiguation aspect. By exploiting the structure of WordNet database, lexico-semantic features are used to resolve the inherent sense ambiguity of written text with particular reference to HTML resources. The obtained results may be extended to generic hypertextual repositories as well. Experiments show that polysemy reduction can be used to hint about the meaning of specific senses in given contexts. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04020-7_50 | ICIC (2) |
Keywords | Field | DocType |
semantic lexicon-based approach,semantic lexicon,lexico-semantic relation,word sense,sense disambiguation aspect,knowledge discovery,specific sense,lexico-semantic feature,inherent sense ambiguity,www application,sense disambiguation,wordnet database,web mining,wordnet | SemEval,Information retrieval,Semantic Web Stack,Computer science,Knowledge extraction,Natural language processing,Artificial intelligence,Machine-readable dictionary,Semantic lexicon,WordNet,Ambiguity,Polysemy | Conference |
Volume | ISSN | ISBN |
5755 | 0302-9743 | 3-642-04019-5 |
Citations | PageRank | References |
3 | 0.40 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vincenzo Di Lecce | 1 | 94 | 17.49 |
| Marco Calabrese | 2 | 31 | 6.87 |
| Domenico Soldo | 3 | 19 | 2.90 |