In the last two decades, information-seeking spoken dialog systems (SDS) have moved from research prototypes to real-life commercial applications. Still, dialog systems are limited by the scale, complexity of the task and coverage of knowledge required by problemsolving machines or mobile personal assistants. Future spoken interaction are required to be multilingual, understand and act on large scale knowledge bases in all its forms (from structured to unstructured). The Web research community have striven to build large scale and open multilingual resources (e.g. Wikipedia) and knowledge bases (e.g. Yago). We argue that a) it is crucial to leverage this massive amount of Web lightly structured knowledge and b) the scale issue can be addressed collaboratively and design open standards to make tools and resources available to the whole speech and language community.
Up From Limited Dialog Systems!
Riccardi, Giuseppe;
2012-01-01
Abstract
In the last two decades, information-seeking spoken dialog systems (SDS) have moved from research prototypes to real-life commercial applications. Still, dialog systems are limited by the scale, complexity of the task and coverage of knowledge required by problemsolving machines or mobile personal assistants. Future spoken interaction are required to be multilingual, understand and act on large scale knowledge bases in all its forms (from structured to unstructured). The Web research community have striven to build large scale and open multilingual resources (e.g. Wikipedia) and knowledge bases (e.g. Yago). We argue that a) it is crucial to leverage this massive amount of Web lightly structured knowledge and b) the scale issue can be addressed collaboratively and design open standards to make tools and resources available to the whole speech and language community.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
