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5 juin 2019
- doi: 10.4000/books.aaccademia.4523
- isbn: 9788831978422
- eisbn: 9788831978699
https://creativecommons.org/licenses/by-nc-nd/4.0/ , info:eu-repo/semantics/openAccess
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elaborazione del linguaggio naturale strumenti del linguaggio traitement du langage naturel outils du langage Natural Language Processing Speech Tools Language & Linguistics LAN009000 CFSujets proches
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Di Maro Maria et al., « Overview of the EVALITA 2018 Spoken Utterances Guiding Chef’s Assistant Robots (SUGAR) Task », Accademia University Press, ID : 10.4000/books.aaccademia.4523
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The SUGAR task is intended to develop a baseline to train a voice-controlled robotic agent to act as a cooking assistant. The starting point will be therefore to provide authentic spoken data collected in a simulated natural context from which semantic predicates will be extracted to classify the actions to perform. Three different approaches were used by the two SUGAR participants to solve the task. The enlightening results show the different elements of criticality underlying the task itself.