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Joint Intent Detection and Slot Filling with Rules

Command understanding, the basis of dialogue system and human-computer interaction, roughly involves two sub tasks: intent detection and slot filling. Traditional methods conduct these two tasks in a pipeline fashion, suffering from error propagation. To overcome this problem, this paper proposes a method to solve intent detection and slot filling jointly by back introducing the result of slot filling into intent detection step. Moreover, rules extracted on the training set are used to ease the noise and imbalance problems. The final result are generated by fusing the results of rule-based method and model-based method. Experiments show that our method is effective and achieves best performance among all teams.