@article{3051,
  author = {Shiya Ren, Huaming Wang, Dongming Yu, Yuan Li, Zhixing Li},
  title = {Improved Intent Detection and Slot Filling in the Human-computer Interaction},
  journal = {Journal of Networking Technology},
  year = {2020},
  volume = {11},
  number = {3},
  doi = {https://doi.org/10.6025/jnt/2020/11/3/103-108},
  url = {http://www.dline.info/jnt/fulltext/v11n3/jntv11n3_3.pdf},
  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.},
}