Unsupervised deep structured semantic models for commonsense reasoning

• Main Authors: WANG, Shuohang, ZHANG, Sheng, SHEN, Yelong, LIU, Xiaodong, LIU, Jingjing, GAO, Jianfeng, JIANG, Jing
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/4789; https://ink.library.smu.edu.sg/context/sis_research/article/5792/viewcontent/Unsupervised_deep_structured_semantic_models_2019_NACL_av.pdf
• Institution: Singapore Management University

Commonsense reasoning is fundamental to natural language understanding. While traditional methods rely heavily on human-crafted features and knowledge bases, we explore learning commonsense knowledge from a large amount of raw text via unsupervised learning. We propose two neural network models base...