SMU Lee Kong Chian Professor of Information Systems and Director of the SMU Living Analytics Research Centre Lim Ee Peng, SMU Research Engineer Hsieh Lee-Hsun and SMU Research Fellow Lee Yang-Yin have introduced a successful model, the “Entity Constrained Insertion Transformer”, shortly known as the ENCONTER that addresses the problem of entity-constrained text generation. ENCONTER is able to generate a job description when entities such as candidate’s desired skills and roles are provided. It can generate a recipe when entities such as ingredients and their quantities are provided, as well as generate a poem when entities such as keywords are provided.