Conversing learning and multilingual learning based on a never-ending learning system

• Grant number: 16/12573-3
• Support Opportunities: Regular Research Grants
• Start date: September 01, 2016
• End date: August 31, 2018
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Estevam Rafael Hruschka Júnior
• Grantee: Estevam Rafael Hruschka Júnior
• Host Institution: Centro de Ciências Exatas e de Tecnologia (CCET). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil
• City of the host institution: São Carlos

Abstract

Machine Learning research has evolved and achieved important results in the last decades. We still don't have, however, a machine learning system capable of performing an autonomous and continuous learning, that can used the knowledge acquired yesterday to enhance its ability to learn better today. The first (and, to our knowledge, the only) never-ending learning system is named NELL (Never-Ending Language Learner). NELL has been developed at Carnegie Mellon University (CMU) in a joint effort with Federal University of Sao Carlos (UFSCar). The main goal of the research work proposed in this project is to keep on the investigation of the never-ending learning topic, and in addition, to investigate, propose and implement methods and algorithms to be coupled to never-ending learning systems, giving to the system capabilities on conversing learning and multilinguality. (AU)