We point out several problems in scalingup statistical approaches to spoken dialogue systems to enable them to deal with complex but natural user goals, such as disjunctive and ne...
This paper describes a novel method by which a spoken dialogue system can learn to choose an optimal dialogue strategy from its experience interacting with human users. The method...
We argue for the necessity of studying human-human spoken conversations of various kinds in order to create user interfaces to databases. An efficient user interface benefits from...
Tiit Hennoste, Olga Gerassimenko, Riina Kasterpalu...
In this paper we present an opinion summarization technique in spoken dialogue systems. Opinion mining has been well studied for years, but very few have considered its applicatio...
This paper describes a novel multi-stage recognition procedure for deducing the spelling and pronunciation of an open set of names. The overall goal is the automatic acquisition o...