Directory assistance: learning user formulations for business listings

Autor: Pietro Laface, Cosmin Popovici, Mario Nigra, Luciano Fissore, Claudio Vair, Marco Andorno
Rok vydání: 2005
Předmět:
Zdroj: IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01..
DOI: 10.1109/asru.2001.1034634
Popis: One of the main problems in automatic directory assistance (DA) for business listings is that customers formulate their requests for the same listing with a great variability. We show that an automatic approach allows the detection, from field data, of user formulations that were not foreseen by the designers, and that they can be added, as variants, to the denominations already included in the system to reduce its failures.
Databáze: OpenAIRE