SEQ2SEQ++: a multitasking-based seq2seq model to generate meaningful and relevant answers

• Main Authors: Palasundram, Kulothunkan, Mohd Sharef, Nurfadhlina, Kasmiran, Khairul Azhar, Azman, Azreen
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers 2021
• Online Access: http://psasir.upm.edu.my/id/eprint/95045/1/SEQ2SEQ%2B%2B%20a%20multitasking-based%20seq2seq%20model%20to%20generate%20meaningful%20and%20relevant%20answers.pdf; http://psasir.upm.edu.my/id/eprint/95045/; https://ieeexplore.ieee.org/document/9638628

Question-answering chatbots have tremendous potential to complement humans in various fields. They are implemented using either rule-based or machine learning-based systems. Unlike the former, machine learning-based chatbots are more scalable. Sequence-to-sequence (Seq2Seq) learning is one of the mo...