Extracting Information from Clinical Documents in a Multilingual Perspective

One three-year PhD grant on Extracting information from clinical documents in a multilingual perspective is offered by the Doctoral Program in Brain, Mind & Computer Science (BMCS) at the University of Padua, jointly with the Natural Language Processing research unit at Fondazione Bruno Kessler (Trento, Italy), where most of the research activities will be conducted. The language of the PhD programme is English.

For more information, the call, and applications look at: http://hit.psy.unipd.it/BMCS/admission

About FBK and the NLP Research Unit

The candidate will have the unique opportunity to explore different fields (Natural Language Processing, Machine Learning, Health & Well-Being) being directly coached by very experienced teammates. The involved PhD will work in an international environment at Fondazione Bruno Kessler (Trento, Italy).

Fondazione Bruno Kessler is an internationally well-known research center, whose information technology department ranks first among the Engineering and Information Science research centers in Italy.

The Natural Language Processing research unit is an internationally well known research group focused on text mining (information extraction and ontology population from text, analysis of the sentiment and of the emotional content of texts); conversational agents (task oriented dialogue systems, question answering, generation of persuasive messages); and development of linguistic resources, particularly for the Italian language.

To get in contact with the NLP research unit and discuss about the opportunities of this call, contact Alberto Lavelli.

The Doctoral Program in Brain, Mind & Computer Science (BMCS) emerges from the close collaboration between faculty from psychology, cognitive neuroscience and information science around the unifying topic of human-computer interaction. Its program rests on the assumption that the ability to work in groups with people of different background is now a fundamental condition to produce scientific excellence and to develop innovative skills that can be spent on the job market.

The Natural Language Processing (NLP) research unit develops computational models of human languages, focusing on written texts. We are active in the following areas: text mining (document classification, information extraction and ontology population from text, semantic inferences, analysis of the sentiment and of the emotional content of texts); conversational agents (task oriented dialogue systems, collaborative human-machine dialogues, generation of explanations); and development of linguistic resources, particularly for the Italian language. In all the above areas, deep learning techniques are exploited. A common issue concerns the “explainability” of the choices carried out by the systems. We are fond of contributing to the Italian NLP community.