Goal-Oriented Conversational System Using Transfer Learning and Attention Mechanism
Document Type
Conference Proceeding
Publication Date
10-12-2019
School
Computing Sciences and Computer Engineering
Abstract
Goal-Oriented (GO) conversational system or GO chatbot is making a significant difference in information availability and customer satisfaction in different business areas. This article describes a GO chatbot model, where transfer learning and attention mechanism are used. Usage of these deep learning techniques widens the application areas of the GO chatbot. Application of transfer learning allows the GO chatbot to transfer the common knowledge of one domain to another domain, which solves the problem of inadequate data for a particular domain. On the other hand, the attention mechanism helps the model to perform domain-specific chatting. The proposed model produces better results on previous research work datasets and also for a newly introduced organ transplant information dataset. Two main contributions of this research are, using transfer learning and attention mechanism for GO chatbot and introducing a new dataset for organ transplant information.
Publication Title
2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference
Recommended Citation
Hatua, A.,
Nguyen, T. T.,
Sung, A. H.
(2019). Goal-Oriented Conversational System Using Transfer Learning and Attention Mechanism. 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference.
Available at: https://aquila.usm.edu/fac_pubs/18015