A Character-Word Information Interaction Framework for Natural Language Understanding in Chinese Medical Dialogue Domain
Natural language understanding is a foundational task in medical dialogue systems.However, there are still two key problems to be solved: (1) Multiple meanings Table Bases of a word lead to ambiguity of intent; (2) character errors make slot entity extraction difficult.To solve the above problems, this paper proposes a character-word information in