Lifelong and Continual Learning Dialogue Systems: Learning during Conversation
نویسندگان
چکیده
Dialogue systems, also called chatbots, are now used in a wide range of applications. However, they still have some major weaknesses. One key weakness is that typically trained from manually-labeled data and/or written with handcrafted rules, and their knowledge bases (KBs) compiled by human experts. Due to the huge amount manual effort involved, difficult scale tend produce many errors ought limited ability understand natural language KBs. Thus, level user satisfactory often low. In this paper, we propose dramatically improve situation endowing chatbots continually learn (1) new world knowledge, (2) expressions ground them actions, (3) conversational skills, during conversation themselves so as chat more users, become knowledgeable better able diverse skills.
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ژورنال
عنوان ژورنال: Proceedings of the ... AAAI Conference on Artificial Intelligence
سال: 2021
ISSN: ['2159-5399', '2374-3468']
DOI: https://doi.org/10.1609/aaai.v35i17.17768