The SUGAR task is intended to develop a baseline to train a voicecontrolled 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.
Overview of the evalita 2018 spoken utterances guiding chef’s assistant robots (SUGAR) task / DI MARO, Maria; Origlia, Antonio; Cutugno, Francesco. - 12:(2018). (Intervento presentato al convegno Evaluation Campaign of Natural Language Processing and Speech Tools for Italian (EVALITA)).
Overview of the evalita 2018 spoken utterances guiding chef’s assistant robots (SUGAR) task
Di Maro Maria;Origlia Antonio;Cutugno Francesco
2018
Abstract
The SUGAR task is intended to develop a baseline to train a voicecontrolled 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.