Abstract
Lifelong learning is the ability of a software system to adapt to new situations during its lifetime. We explore how this paradigm can be applied to dialogue systems, how it might be implemented, and how we can evaluate the lifelong learning progress.
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Acknowledgements
This paper has been partially funded by the LIHLITH project, supported by ERA-NET CHIST-ERA and Swiss National Science Foundation (20CH21_174237).
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Cieliebak, M., Galibert, O., Deriu, J. (2021). Towards Understanding Lifelong Learning for Dialogue Systems. In: Marchi, E., Siniscalchi, S.M., Cumani, S., Salerno, V.M., Li, H. (eds) Increasing Naturalness and Flexibility in Spoken Dialogue Interaction. Lecture Notes in Electrical Engineering, vol 714. Springer, Singapore. https://doi.org/10.1007/978-981-15-9323-9_33
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DOI: https://doi.org/10.1007/978-981-15-9323-9_33
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