Most of human knowledge is expressed in a natural language. Manually extracting, collecting and managing structured knowledge from texts is difficult and expensive. For this purpose, Natural Language Processing techniques have been developed and are evolving, which can automate many text analysis tasks and are now considered essential in modern information systems to complement structured content management functions in order to achieve the optimal use of available digital material. In this seminar, there was an introduction to Natural Language Processing, its basic tasks and applications, and then an overview of tasks and tools for processing the Greek Language. Some modern approaches for knowledge mining from texts (which can leverage existing knowledge bases), and for natural language question answering (Question Answering) on knowledge bases were presented. The workshop included presentations by participants and a panel discussion with humanities researchers to draw conclusions.