Lifelong Knowledge Learning in Rule-based Dialogue Systems
15 citations recorded by the source corpus.
One of the main weaknesses of current chatbots or dialogue systems is that they do not learn online during conversations after they are deployed. This is a major loss of opportunity. Clearly, each human user has a great deal of knowledge about the world that may be useful to others. If a chatbot can learn from their users during chatting, it will greatly expand its knowledge base and serve its users better. This paper proposes to build such a learning capability in a rule-based chatbot so that it can continuously acquire new knowledge in its chatting with users. This work is useful because many real-life deployed chatbots are rule-based.
Subfields: Artificial Intelligence
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In Artificial Intelligence
- Bing Liu
- Sahisnu Mazumder
- Andrea Madotto
- Zhaojiang Lin
- Shuai Wang
- Nianzu Ma
- Zhou Yu
- Dilek Z. Hakkani-Tür
Citations in the corpus
- Lifelong and Continual Learning Dialogue Systems: Learning during Conversation (2021, methodology): “”, the chatbot can extract the new fact ( Forest Gump, isa, movie ) and ( Tom Hanks, performed in, Forest Gump ) (Liu and Mei 2020).”
- Continual Learning in Task-Oriented Dialogue Systems (2020, background): “On the other hand, Continual Learning is also studied in the Long Life Learning (LLL) scenario, where a learner continuously accumulate knowledge and makes use of it in the future (Chen and Liu, 2018; Liu and Mei, 2020).”
- Continuous and Interactive Factual Knowledge Learning in Verification Dialogues (2020, methodology): “[28, 19] are based on extraction of facts directly from user utterances.”
- DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines (2022, background): “While neural dialogue models are the main-stream in research, chatbots in deployment often still rely on handcrafted rules (Suendermann et al., 2009; Liu and Mei, 2020) and templates (Reiter et al., 2005; McRoy et al., 2003) due to the ease of update and ability to generate high quality,…”