Estevam Rafael Hruschka Júnior

• 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 (Nev…

  Conversing learning and multilingual learning based on a never-ending learning system, AP.R
• 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, AR.EXT
• Brazilian Conference on Intelligent Systems (BRACIS), AO.R

(Only some records are available in English at this moment)

• Abstract

  This project consists on investigating a way to use a micro reader of noun phrases to aid in the extraction of facts from the web in a never-ending learning system, in this case NELL - http://rtw.ml.cmu.edu/rtw/. The intention is to investigate and implement methods that allow the extraction of rules based on noun phrases, in the process of machine learning, from sentences. The aim is als…

  Using a noun phrases micro reader to aid in the process of never ending learning, BP.IC

• Abstract

  A recent and relevant research topic in Machine Learning is the Never-Ending Learning approach that focus on proposing algorithms and models to build learning systems that learn cumulatively forever, using what they have learned yesterday to improve their ability to learn better today, and keep learning indefinitely. The first Never-Ending Learning system described in the literature is ca…

  Using Markov logic for relation learning in the never-ending learning, BP.IC