Tenured Researcher (CR1) at CNRS
Chair in Artificial Intelligence
Deputy Scientific Director of the Institute 3IA Côte d’Azur
Member of the Inria-I3S research team WIMMICS
Laboratoire I3S, CNRS, Sophia Antipolis, France
Image by CNRS DR20 - Service Communication
I am a tenured research fellow (CR1) in computer science at the CNRS and I pursue my research at the I3S laboratory where I am a member of the joint Inria-CNRS-UCA Wimmics team.
My research area is Artificial Intelligence (AI), and my current work focuses on computational argumentation considering both reasoning on computational models of argument and mining natural arguments from text (argument mining). I am particularly interested in multidisciplinary applications of argumentation to the legal domain, to medical texts, to political debates and to social networks.
Since July 2019, I have been awarded with a Chair in Artificial Intelligence at the Interdisciplinary Institute for Artificial Intelligence 3IA Côte d’Azur on “Artificial Argumentation for Humans”. Since January 2021, I am the Deputy Scientific Director of the 3IA Côte d'Azur Institute.
Since December 2019, I am a member of the National Pilot Committee for Digital Ethics (CNPEN), and since October 2020 I am a member of the Scientific and Ethical Committee of the Cancer Data Platform of the Institut National du Cancer.
I am part of the Steering Committee of COMMA (Computational Models of Arguments), JURIX (Foundation for Legal Knowledge Based Systems) and ECA (European Conference on Argumentation). Since September 2021, I am a member of the IAAIL executive committee (2022-2023).
Formal argumentation frameworks to reason over inconsistent and incomplete information (bipolar argumentation, trust, preferences, meta-argumentation).
Mining for argumentative structures in natural language text (stance detection, argumentative components classification, relation predictions).
Automatic quality assessment of argumentative structures and argument generation (argument-based explanations, counter-arguments).
Mining and reasoning on legal texts (fomalisation of moral dialogues, legal ontology population, legal NERC, legal ontologies).
Identifying and classifying harmful and abusive textual messages posted on online social networks (inglish, french, italian, german).
Study of the correlations among argumentative moves in debates, metal statuses (engagement, workload), and emotions.
Started in April 2021, the aim of the ANTIDOTE project is to explain machine learning predictions in medicine through argument-based explanations in natural language.
Role: project coordinator
Started in September 2020, the aim of the project is to use NLP to detect hate messages on social networks and generate counter-arguments to oppose this content.
Role: project coordinator
The goal this chair is to design and create argumentation-enhanced intelligent machines. These machines require the use of argumentation technologies to mine, analyse, summarize, and generate argumentation structures.
Role: project coordinator
Project website (ongoing)
This project, funded by UCA JEDI Labex (Université Côte d’Azur), aimed at leveraging medical prognosis and decision making in the clinical domain with big data analysis techniques, NaturalLanguage Processing and Machine Learning.
The purpose of the project is to learn how to mobilize Artificial Intelligence to locate arguments, ideas and not simply terms, uses of terms, semantic fields in administrative law.
Role: project coordinator (formerly participant)
The aim of the project was to create an international and inter-sectorial network to define a formal framework and to develop tools for MIning and REasoning with Legal texts.
Role: WG4 leader
The purpose of CREEP is to provide a set of tools to support the detection and prevention ofpsychological/behavioral problems of cyberbullying teenage victims.
ACTA is a tool developed to support the decision making process in evidence-based medicine by automatically analysing clinical trials for their argumentative components and PICO elements.
DispuTOOL is a tool for mining and exploring arguments in the US Presidential Election Debates from 1960 to 2016. This tool is made in collaboration with the University of Luxembourg.
Licentia is a suite of services to support you in looking for a suitable license for your data. This tool has been made in collaboration with the University of Cordoba (Argentina).
Santiago Marro. Université Côte d'Azur, France. 2020-2023 Argument-based Explanatory Dialogues for Medicine
Role: director. Co-director: Elena Cabrio (UCA). 3IA Chair.
Vorakit Vorakitaphan. Université Côte d'Azur, France. 2018-2020. Empowering Web Search Engines with Argumentation and Emotions
Role: director. Co-supervisor: Elena Cabrio (UCA). ANSWER.
Mina Ayse Ilhan. Université Côte d'Azur, France. 2019-2022 Algorithms disserving justice.
Role: co-director. Director: Marina Teller (UCA). EUR DS4H.
Shohreh Haddadan. University of Luxembourg. 2018-2021 Argument Mining on Political Debates
Role: co-director. Director: Leon van der Torre (Univ. Luxembourg).
Tobias Mayer. Université Côte d'Azur, France. 2017-2020 Argument Mining on Clinical Trials
Role: director. Co-supervisor: Elena Cabrio (UCA).
PhD defense: December 17th, 2020.
Tobias is now a post-doc at Darmstadt University (Germany).
Amel Ben Othmane. Université Côte d'Azur, France. 2013-2017. CARS - A multi-agent framework to support the decision making in uncertain spatio-temporal real-world applications
Role: co-supervisor. Director: Nhan Le Than (UCA).
PhD defense: October 12th, 2017. Amel is now working at the IBM Research Center in Sophia Antipolis.
Javed Ahmed. Joint International Doctoral (Ph.D.) Degree in Law, Science and Technology (LAST-JD). 2013-2017 Contextual integrity and tie strength in online social networks: social theory, user study, ontology, and validation.
Role: co-supervisor. Director: Leon van der Torre (Univ. Lux)
PhD defense: September 29th, 2017. Javed is now post-doc at the Norwegian University of Science and Technology.