Elena Cabrio


Contact information:

Université Côte d’Azur, Inria, CNRS, I3S, France

Wimmics research team

930 route des Colles - Bât. Les Templiers

06903 SOPHIA ANTIPOLIS cedex, France

Tel: +33 (0)4 92 96 50 64

email: elena.cabrio[at]unice.fr


Short Bio

Since September 2015, I am Assistant Professor at the University of Nice Sophia Antipolis and member of the Wimmics Research Team.

In April 2011 I received the Ph.D. from the Information and Communication Technologies International Doctoral School at University of Trento (Italy), with a thesis on the Textual Entailment approach to semantic inferences. I conducted my PhD research in the Human Language Technology Unit at Fondazione Bruno Kessler (FBK) in Trento.

During my PhD, I spent a 6-month internship in the Parsing and Semantics Group at Xerox Research Center Europe in Grenoble (France).

In 2011, I moved to INRIA Sophia Antipolis for a three-year postdoc in the Wimmics team to work on a question-answering system over linked data, followed by another one-year postdoc with the double affiliation INRIA and EURECOM (Sophia Antipolis, France) on the same topic.

What's new...

- Lecturer of the Argument Mining course at the 29th European Summer School in Logic, Language, and Information (ESSLLI 2017), together with Serena Villata. University of Toulouse (France), 17-28 July, 2017.

- Invited speaker of the 12th International Conference on Computational Semantics (IWCS), 19-22 September 2017 Montpellier (France).

Ongoing research projects:

ALOOF - Autonomous Learning of the Meaning of Objects (EU CHIST-ERA project)

Goal of the ALOOF project is to enable robots and autonomous systems working with and for humans to exploit the vast amount of knowledge on the Web in order to learn about previously unseen objects involved in human activities, and to use this knowledge when acting in the real world.


WASABI - Web Audio Semantic Aggregated in the Browser for Indexation (ANR project)

Goal of the WASABI project is to define an optimized methodology for indexing music for the Web for large databases by linking metadata from audio analysis, Semantic Web techniques, and the analysis of textual data such as song lyrics using natural language analysis and to compare this methodology with case scenarios to develop unique services and applications using Web Audio technologies.


SMILK - Social Media Intelligence and Linked Knowledge (LabCom)

Joint laboratory between the Wimmics team and the Research and Innovation unit of VISEO (Grenoble).

The purpose of SMILK is both to develop research and technologies in order to retrieve, analyze, and reason on textual data coming from Web sources, and to make use of LOD, social networks structures and interaction in order to improve the analysis and understanding of textual resources.


QAKiS (Question Answering wiKiframework-based System)

It addresses the problem of question interpretation as a relation-based match, where fragments of the user question are matched to binary relations of the triple store, using relational textual patterns automatically collected. In the current implementation, the relational patterns are automatically extracted from Wikipedia, while DBpedia is the RDF data set to be queried using a natural language interface.

Try the online DEMO!


Research Interests

Natural Language Processing

Argument Mining

Semantic Web

Textual Entailment