A BERT-based two-stage model for Chinese Chengyu recommendation

• Main Authors: TAN, Minghuan, Jing JIANG, DAI, Bingtian
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: natural language processing; chengyu recommendation; idiom understanding; question answering; Databases and Information Systems; East Asian Languages and Societies; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/5821; https://ink.library.smu.edu.sg/context/sis_research/article/6824/viewcontent/ink_Chinese_Idiom_Prediction__TALLIP___nonacm_.pdf
• Institution: Singapore Management University

In Chinese, Chengyu are fixed phrases consisting of four characters. As a type of idioms, their meanings usually cannot be derived from their component characters. In this paper, we study the task of recommending a Chengyu given a textual context. Observing some of the limitations with existing work...