dc.creatorAvalos Ambroggio, Santiago Eugenio
dc.creatorBenotti, Luciana
dc.date.accessioned2020-10-07T00:43:32Z
dc.date.accessioned2022-10-14T18:12:09Z
dc.date.available2020-10-07T00:43:32Z
dc.date.available2022-10-14T18:12:09Z
dc.date.created2020-10-07T00:43:32Z
dc.date.issued2014
dc.identifierdoi:10.3115/v1/W14-0205
dc.identifierhttp://hdl.handle.net/11086/16441
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4266266
dc.description.abstractIn this paper we describe a method for developing a virtual instructor for pedestrian navigation based on real interactions between a human instructor and a human pedestrian. A virtual instructor is an agent capable of fulfilling the role of a human instructor, and its goal is to assist a pedestrian in the accomplishment of different tasks within the context of a real city. The instructor decides what to say using a generation by selection algorithm, based on a corpus of real interactions generated within the world of interest. The instructor is able to react to different requests by the pedestrian. It is also aware of the pedestrian position with a certain degree of uncertainty, and it can use different city landmarks to guide him.
dc.languageeng
dc.publisherAssociation for Computational Linguistics
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.sourceISBN 978-1-937284-81-7
dc.subjectNatural language generation
dc.subjectPedestrian navigation
dc.titleA Natural Language Instructor for pedestrian navigation based in generation by selection
dc.typeconferenceObject


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