Section: Partnerships and Cooperations

International Research Visitors

Visits of International Scientists

Internships

• Hatim Aouzal

  • Date: May – September

  • Institution: MIAGE UNS & EMSI Casablanca, Morocco

  • Title: Intelligent System for Mobile Robot Museum Visit.

  • Supervisor: Michel Buffa

• Lautaro Petaccio

  • Date: July – December

  • Institution: Universidad de Buenos Aires (Argentina)

  • Title: Design and development of a Fact-Checking Framework Based on Argumentation Theory and Natural Language Processing Techniques.

  • Supervisors: Elena Cabrio, Serena Villata

• Konstantina Poulida

  • Date: until January

  • Institution: University of Patras, Computer Engineering and Informatics Department

  • Title: Semantic Categorization of Segments of Ancient and Mediaeval Zoological Texts

  • Supervisors: Catherine Faron-Zucker, Andrea Tettamanzi

• Avijit Shah

  • Date: September – December

  • Institution: NITK, National Institute of Technology Karnataka, Surathkal (India).

  • Title: Bootstrapping the Construction of a Knowledge Base of Objects

  • Supervisors: Valerio Basile and Elena Cabrio

Visits to International Teams

Research Stays Abroad

• Tuan Anh Pham

  • Date: October 2016 to July 2017.

  • Erasmus Mundus Scholarship Exchange at University of Danang, Vietnam for 7 months to deploy the result of the PhD in a common project with UNS.

• Serena Villata

  • Date: February-March.

  • Visit of the Nomotika startup in Turin, Italia, for two months as a secondment of the MIREL H2020 Project.

  • Topic: This secondment was in the context of WP2, and more specifically it addressed Task 2.2 (Develop NLP systems for mining named entities and concepts, in order to populate the ontology). Serena Villata worked in the past on the topic of ontology-based information extraction from licensing information applying machine learning techniques. The results of her work have been exploited to define the two tools called NLL2RDF (http://www.airpedia.org/nll2rdf/) and Licentia (http://licentia.inria.fr/).

    During this secondment, she studied together with the Nomotika personnel how to generalize the approach proposed in NLL2RDF and Licentia in such a way that this kind of processing is applicable to legal texts in general, and not only to licenses. More precisely, the collaboration has been concentrated on the investigation of the following open issues: (i) find and refine (if needed) existing computational ontologies for normative reasoning, and (ii) mine legal texts to extract the main deontic components (i.e., obligations, permissions, and prohibitions) and returning a machine-readable semantic representation of such information extracted from the texts exploiting a distributional semantics approach where the meaning of a word is represented by the set of contexts in which it occurs in texts. The collaboration is still ongoing and results are expected soon (i.e., publications).