SEQ2SEQ++: a multitasking-based seq2seq model to generate meaningful and relevant answers
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...
| 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/ http://psasir.upm.edu.my/id/eprint/95045/1/SEQ2SEQ%2B%2B%20a%20multitasking-based%20seq2seq%20model%20to%20generate%20meaningful%20and%20relevant%20answers.pdf |
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