A method for extracting causal knowledge from textual databases

• Main Authors: Chan, Syin, Niu, Yun, Ang, Alyssa, Khoo, Christopher S. G.
• Other Authors: Wee Kim Wee School of Communication and Information
• Format: Article
• Language: English
• Published: 2014
• Subjects: DRNTU::Library and information science::Knowledge management
• Online Access: https://hdl.handle.net/10356/101369; http://hdl.handle.net/10220/18370; http://www.connexor.com/nlplib/?q=node/540
• Institution: Nanyang Technological University

This paper describes the first phase of a project to develop a knowledge extraction and knowledge discovery system that extracts causal knowledge from a textual database automatically, and attempts to infer new causal relationships from the extracted information. The initial work is focused on d...