An Open-Source Chatbot by Using ParlAI

被引:0
|
作者
Narnavaram, Kiran Mai [1 ]
Lo, Dan [1 ]
机构
[1] Kennesaw State Univ, Marietta, GA 30060 USA
来源
PROCEEDINGS OF THE 2024 ACM SOUTHEAST CONFERENCE, ACMSE 2024 | 2024年
关键词
deep learning; chatbot; ParlAI - Blended Skill Talk;
D O I
10.1145/3603287.3656160
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
While existing work shows a great success, the accuracy, the response time, the interoperability, the extendibility, etc. remain to be improved. We proposed "ParlAIDialogTeacher" using the opensource ParlAI to improve the accuracy, the response time, the interoperability, and the extendibility. Training is based on Maximum Likelihood Estimation (MLE) approach for the generative model. This platform eases sharing, training, and evaluating dialog models with multiple datasets available. Our results indicate the proposed model outperforms x, y, z in terms of response time and accuracy. Future work include extending the model with other genitive models such as GAN.
引用
收藏
页码:323 / 324
页数:2
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