Name
Abstract | ||
|---|---|---|
This paper explores the role of domain information in word sense disambiguation. The underlying hypothesis is that domain labels, such as MEDICINE, ARCHITECTURE and SPORT, provide a useful way to establish semantic relations among word senses, which can be profitably used during the disambiguation process. Results obtained at the SENSEVAL-2 initiative confirm that for a significant subset of words domain information can be used to disambiguate with a very high level of precision. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1017/S1351324902003029 | Natural Language Engineering |
Keywords | Field | DocType |
word sense disambiguation,senseval-2 initiative,word sense,words domain information,domain information,domain label,high level,significant subset,disambiguation process,semantic relation,profitability | Architecture,SemEval,Computer science,Artificial intelligence,Natural language processing,Word-sense disambiguation | Journal |
Volume | Issue | Citations |
8 | 4 | 70 |
PageRank | References | Authors |
6.57 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bernardo Magnini | 1 | 2027 | 226.13 |
| Carlo Strapparava | 2 | 2564 | 230.59 |
| Giovanni Pezzulo | 3 | 512 | 48.50 |
| Alfio Gliozzo | 4 | 257 | 24.97 |