Joint learning of answer selection and answer summary generation in community question answering

• Main Authors: DENG, Yang, LAM, Wai, XIE, Yuexiang, CHEN, Daoyuan, LI, Yaliang, YANG, Min, SHEN, Ying
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Community question answering; Joint learning; Question-answer pairs; Summary generation; Text summarization; Databases and Information Systems; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/9102; https://ink.library.smu.edu.sg/context/sis_research/article/10105/viewcontent/6266_Article_Text_9491_1_10_20200516.pdf
• Institution: Singapore Management University

Community question answering (CQA) gains increasing popularity in both academy and industry recently. However, the redundancy and lengthiness issues of crowdsourced answers limit the performance of answer selection and lead to reading difficulties and misunderstandings for community users. To solve...