19 avril 2018
https://creativecommons.org/licenses/by-nc-nd/4.0/ , info:eu-repo/semantics/openAccess
Di Mauro Dario et al., « Distributed Processes for Spoken Questions and Commands Understanding », Accademia University Press, ID : 10.4000/books.aaccademia.2400
Commercial products labelled as smart devices usually recur to a centralised system that processes all the requests. A distributed model, where nodes independently interact with the environment, may provide a widespread support for both users and other devices. In the latter setup, each entity has a partial awareness about defines the requests accepted by the network, and this aspect complicates the task. This paper improves an existing distributed model, called PHASER, by proposing linguistic analysis techniques to manage non-matching requests. NLP methods produce a confidence; any PHASER node forwards non-matching requests to close peers. PHASER exploits the confidence to rank the adjacent peers and deliver the question to the best node. Partial Matching and a Bag-of-Words models will be compared with the currently adopted full matching. The Bag-of-Words approach offered the best results in terms of both quality and required time.