A unified multi-task learning framework for multi-goal conversational recommender systems

• Main Authors: DENG, Yang, ZHANG, Wenxuan, XU, Weiwen, LEI, Wenqiang, CHUA, Tat-Seng, LAM, Wai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Task Analysis; Knowledge Graphs; Knowledge Engineering; Context Modeling; Semantics; Knowledge Acquisition; Question Generation; Multi Task Learning; Structural Information; Background Information; Knowledge Of Structure; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9086; https://ink.library.smu.edu.sg/context/sis_research/article/10089/viewcontent/10136803.pdf
• Institution: Singapore Management University

Question generation (QG) aims to automatically generate fluent and relevant questions, where the two most mainstream directions are generating questions from unstructured contextual texts (CQG), such as news articles, and generating questions from structured factoid texts (FQG), such as knowledge gr...