Dialog as a Vehicle for Lifelong Learning
- URL: http://arxiv.org/abs/2006.14767v1
- Date: Fri, 26 Jun 2020 03:08:33 GMT
- Title: Dialog as a Vehicle for Lifelong Learning
- Authors: Aishwarya Padmakumar, Raymond J. Mooney
- Abstract summary: We present the problem of designing dialog systems that enable lifelong learning.
We include examples of prior work in this direction, and discuss challenges that remain to be addressed.
- Score: 24.420113907842147
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Dialog systems research has primarily been focused around two main types of
applications - task-oriented dialog systems that learn to use clarification to
aid in understanding a goal, and open-ended dialog systems that are expected to
carry out unconstrained "chit chat" conversations. However, dialog interactions
can also be used to obtain various types of knowledge that can be used to
improve an underlying language understanding system, or other machine learning
systems that the dialog acts over. In this position paper, we present the
problem of designing dialog systems that enable lifelong learning as an
important challenge problem, in particular for applications involving
physically situated robots. We include examples of prior work in this
direction, and discuss challenges that remain to be addressed.
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