Knowledge graph embedding models for automatic commonsense knowledge acquisition

• Main Author: Ikhlas Mohammad Suliman Alhussien
• Other Authors: Erik Cambria
• Format: Theses and Dissertations
• Language: English
• Published: 2019
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing; DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
• Online Access: https://hdl.handle.net/10356/102652; http://hdl.handle.net/10220/47795
• Institution: Nanyang Technological University

Intelligent systems are expected to make smart human-like decisions based on accumulated commonsense knowledge of an average individual. These systems need, therefore, to acquire an understanding about uses of objects, their properties, parts and materials, preconditions and effects of actions, and...