AraConv: Developing an Arabic Task-Oriented Dialogue System Using Multi-Lingual Transformer Model mT5
Task-oriented dialogue systems (DS) are designed to help users perform daily activities using natural language. Task-oriented DS for English language have demonstrated promising performance outcomes; however, developing such systems to support Arabic remains a challenge. This challenge is mainly due...
Main Authors: | Ahlam Fuad, Maha Al-Yahya |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/4/1881 |
Similar Items
-
Cross-Lingual Transfer Learning for Arabic Task-Oriented Dialogue Systems Using Multilingual Transformer Model mT5
by: Ahlam Fuad, et al.
Published: (2022-02-01) -
METODE AUDIO LINGUAL (AUDIO-LINGUAL METHOD) DAN PENERAPANNYA DALAM PEMBELAJARAN BAHASA ARAB
by: MUNASIB MUNASIB
Published: (2018-01-01) -
Recent Developments in Arabic Conversational AI: A Literature Review
by: Ahlam Fuad, et al.
Published: (2022-01-01) -
An Interactive Framework of Cross-Lingual NLU for In-Vehicle Dialogue
by: Xinlu Li, et al.
Published: (2023-10-01) -
Tooth Morphometry in Lingual Orthodontics
by: Yu-Chuan Tseng
Published: (2004-12-01)