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Journal of Networking Technology

Improved Intent Detection and Slot Filling in the Human-computer Interaction

Shiya Ren, Huaming Wang, Dongming Yu, Yuan Li, Zhixing Li
Chongqing Key Lab of Computation Intelligence & Chongqing University of Posts and Telecommunications, Chongqing, China 40065

Abstract: Intent detection and slot filling are the two major tasks of the basis of dialogue system and human -computer interaction. Normally these are performed in a pipeline fashion, suffering from error propagation. IN order to address this issue, this work advocates a method to solve intent detection and slot filling jointly by back introducing the result of slot filling into intent detection step. Besides, rules extracted on the training set are used to ease the noise and imbalance problems. Experimental outcomes are generated by fusing the results of rule-based method and model-based method. Finally it shows that our method is effective and achieves best performance among all teams.

Keywords: Command Understanding, Intent Detection, Slot Filling, Dialogue Systems Improved Intent Detection and Slot Filling in the Human-computer Interaction

DOI:https://doi.org/10.6025/jnt/2020/11/3/103-108

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References:

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