Scaled acquisition of high-quality structured knowledge has been a longstanding goal of
Artificial Intelligence research. Recent advances in crowdsourcing, the sheer number of …

Acquisition of high quality structured knowledge that is immediately useful for reasoning
algorithms has been a longstanding goal of the Artificial Intelligence research community …

An alternative to the traditional single function approximation method is the never-ending
learning (NEL) approach ie, a learning paradigm in which, the learner, in an autonomous …

Precision medicine informatics is a field of research that incorporates learning systems that
generate new knowledge to improve individualized treatments using integrated data sets …

The first Never-Ending Learning system reported in the literature, which is called NELL
(Never-Ending Language Learner), was designed to perform the task of autonomously …

Internet and social Web made possible the acquisition of information to feed a growing
number of Machine Learning (ML) applications and, in addition, brought light to the use of …

Over the last decade, extensive research has been done on automatically constructing
knowledge graphs from web resources, resulting in a number of large-scale knowledge …

Enhancements in ways a conversational agent can participate in human-computer dialog
tasks, as well as in the ability of such agents in answering questions has been explored in …

In Machine Learning (ML) systems we often apply techniques to learn about real world
problems behavior from data. Traditionally, such data comes from instances of datasets (that …

Internet and social Web made possible the acquisition of information to feed a growing
number of Machine Learning applications and, in addition, brought light to the use of …