What makes the story forward?: Inferring commonsense explanations as prompts for future event generation

• Main Authors: LIN, Li, CAO, Yixin, HUANG, Lifu, LI, Shu Ang, HU, Xuming, WEN, Lijie, WANG, Jianmin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: commonsense reasoning; contrastive training; textual event generation; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7229; https://ink.library.smu.edu.sg/context/sis_research/article/8232/viewcontent/3477495.3532080_pvoa_cc_by.pdf
• Institution: Singapore Management University

Prediction over event sequences is critical for many real-world applications in Information Retrieval and Natural Language Processing. Future Event Generation (FEG) is a challenging task in event sequence prediction because it requires not only fluent text generation but also commonsense reasoning t...