End-to-end task-oriented dialogue: A survey of tasks, methods, and future directions

• Main Authors: QIN, Libo, PAN, Wenbo, CHEN, Qiguang, LIAO, Lizi, YU, Zhou, ZHANG, Yue, CHE, Wanxiang, LI, Min
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Abundant resources; End to end; End-to-end task; Modulars; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8582; https://ink.library.smu.edu.sg/context/sis_research/article/9585/viewcontent/End_to_end_Task_oriented_Dialogue_A_Survey_of_Tasks__Methods__and_Future_Directions.pdf
• Institution: Singapore Management University

End-to-end task-oriented dialogue (EToD) can directly generate responses in an end-to-end fashion without modular training, which attracts escalating popularity. The advancement of deep neural networks, especially the successful use of large pre-trained models, has further led to significant progres...