Name
Abstract | ||
|---|---|---|
So far most attempts to automate Directory Assistance services focused on private listings, because it i s not known p recisely how callers will refer to a business listings. The research de- scribed in this paper, carried out in the SMADA project, tries to fill this gap. The aim of the research is to model the expres- sions people use when referring to a business listing by means of rules, in o rder to automatically create a vocabulary, which can be part of an automated DA service. In this paper a rule-base procedure is proposed, which d e- rives rules from the e xpressions people use. These rules are then u sed to automatically create e xpressions from directory listings. Two categories of businesses, viz. hospitals and the hotel and catering industry, are used to explain this procedure. Results for these two categories are used to d iscuss the prob- lem of the over- and undergeneration of expressions. |
Year | Venue | Keywords |
|---|---|---|
2001 | INTERSPEECH | rule based |
Field | DocType | Citations |
Catering industry,Expression (mathematics),Computer science,Directory,Speech recognition,Vocabulary,Directory assistance | Conference | 5 |
PageRank | References | Authors |
0.79 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Odette Scharenborg | 1 | 128 | 31.03 |
| Janienke Sturm | 2 | 356 | 36.54 |
| Lou Boves | 3 | 565 | 93.68 |