LIHLITH: Learning to Interact with Humans by Lifelong Interaction with Humans
Résumé
The LIHLITH project will research, innovate and validate a new lifelong
learning framework for the interaction of humans and machines on specific domains
with the aim of improving the quality of existing dialogue systems and lowering the
cost of deployment in new domains. LILITH will develop dialogue systems that learn
autonomously from their interactions with the users, and retain this new knowledge
in order to answer more accurately in future interactions. The key insight is that
the dialogue systems will be designed to get feedback from the user. Based on this
feedback, the system will keep improving after deployment all modules down in the
pipeline. LIHLITH project will also develop and deliver evaluation protocols and
benchmarks to allow public comparison and reproducibility.