An Open-Source ChatBot by Using ParlAI

EasyChair Preprint 13434

Abstract

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 open-source 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.

Keyphrases: Chatbot, ParlAI - Blended Skill Talk, deep learning

@booklet{EasyChair:13434,
  author    = {Kiran Mai Narnavaram and Dan Lo},
  title     = {An Open-Source ChatBot by Using ParlAI},
  howpublished = {EasyChair Preprint 13434},
  year      = {EasyChair, 2024}}