Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Melina Alberio Guerra"'
Autor:
Claudio S. Pinhanez, Julio Nogima, Melina Alberio Guerra, Heloisa Candello, Mauro Carlos Pichiliani, Paulo R. Cavalin, Ana Paula Appel, Gabriel Louzada Malfatti, Henrique Ferreira, Victor Henrique Alves Ribeiro, Maíra Gatti de Bayser
Publikováno v:
CHI
This paper describes how machine learning training data and symbolic knowledge from curators of conversational systems can be used together to improve the accuracy of those systems and to enable better curatorial tools. This is done in the context of
Autor:
Heloisa Candello, Claudio S. Pinhanez, Paulo R. Cavalin, Maíra Gatti de Bayser, Mauro Carlos Pichiliani, Ana Paula Appel, Gabriel Louzada Malfatti, Julio Nogima, Henrique Ferreira, Melina Alberio Guerra, Victor Henrique Alves Ribeiro
Publikováno v:
ACL/IJCNLP (1)
In this paper we explore the improvement of intent recognition in conversational systems by the use of meta-knowledge embedded in intent identifiers. Developers often include such knowledge, structure as taxonomies, in the documentation of chatbots.
Autor:
Hui Su, Melina Alberio Guerra, Xiangyang Mou, Jeffrey O. Kephart, Maira Gratti DeBayser, Lisha Chen, Rahul R. Divekar, Matthew Peveler
Publikováno v:
CHI Extended Abstracts
Competitions that directly pit software agents against one another have proven to be an effective and entertaining way to advance the state of the art in a multitude of AI domains. Less frequently, human-agent competitions have been held to gauge the
Autor:
Xiangyang Mou, Maíra Gatti de Bayser, Hui Su, Lisha Chen, Melina Alberio Guerra, Rahul R. Divekar
Publikováno v:
IJCAI
In a setting where two AI agents embodied as animated humanoid avatars are engaged in a conversation with one human and each other, we see two challenges. One, determination by the AI agents about which one of them is being addressed. Two, determinat
Autor:
Heloisa Candello, Melina Alberio Guerra, Maíra Gatti de Bayser, Claudio S. Pinhanez, Mauro Carlos Pichiliani
Publikováno v:
CHI Extended Abstracts
Beyond current dyadic chatbots and voice-based personal assistants, this demo showcases a novel experience where users interact with multiple, text-based conversational systems as if seating around a table with them. Two key technologies allow the se