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About NUI Galway
About NUI Galway
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Research & Innovation
Research & Innovation
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At NUI Galway, we believe that the best learning takes place when you apply what you learn in a real world context. That's why many of our courses include work placements or community projects.
Engineering & Informatics
Ms CÉCILE ROBIN
Insight Centre for Data Analytics
T: Ext. 5837
My background is in Natural Language Processing, more specifically rule-based sentiment analysis and information extraction. I am involved in using and applying DSI's knowledge extraction framework Saffron for academic collaborations or in projects, such as with the organization HIQA for extracting the areas of improvement of hospital based on patients feedback, or with the company Fidelity in the domain of enterprise knowledge extraction. I am involved in the H2020 Prêt-à-LLOD project, working on expanding a platform of linguistic resources following LOD best practice.
I recently participated to the 3rd Summer Datathon on Linguistic Linked Open Data 2019, winning the best datathon results award for a mini-project on the creation of a Linked Open resource of TED talks.
On other activities, I was a speaker at the Galway edition of Soapbox Science in 2018, and was selected as participant in the Aurora Leadership Development Programme 2019, run by the Leadership Foundation for Higher Education UK in 2019.
My previous activities in DSI included participating in the management of the EU project MixedEmotions on emotion detection, which successfully completed in May 2017. I also contributed in building a system for definition extraction out of legal texts using a mixture of automatic NLP tools and symbolic methods for a project with the GRCTC of Cork. I was part of the local organizers team for the first LDK conference 2017, held in Galway in June 2017.
Before joining DSI, I worked for 3 years for a company in France. During that period, I worked on a few European research projects such as “SAUGE” where I helped developing a CV parser enriched with ontologies, or TIER in the epidemic risks detection from WHO reports. I also worked on projects for private companies (Orange, SFR, Euromaster, etc.) for customer relationship management, which involved information extraction, sentiment analysis and automatic classification of customer reviews.
I owe a BSc. in Computer Science and Linguistics from Lyon 2 University (France, 2011) and a MSc. in Natural Language Processing from Stendhal University (Grenoble, France, 2013). The title of my thesis was : Transforming French shallow dependencies into a Stanford-based dependency set adapted to French language.
Peer Reviewed Journals
|(2019)|| 'A decade of Semantic Web research through the lenses of a mixed methods approach'
Kirrane, S; Sabou, M; Fernandez, RD; Osborne, F; Robin, C; Buitelaar, P ; Motta, E; Polleres, A (2019) 'A decade of Semantic Web research through the lenses of a mixed methods approach'. Semantic Web Journal, [ARAN Link] [Details]
|(2018)|| 'Knowledge Maps in Web Science'
Hooper, Clare and Peters, Isabella and Robin, Cécile (2018) 'Knowledge Maps in Web Science'. The Journal of Web Science, 5 (1):1-15 [DOI] [Details]
|(2016)|| Sentiment Analysis in Social Networks.
Pozzi, Federico Alberto and Fersini, Elisabetta and Messina, Enza and Liu, Bing (2016) Sentiment Analysis in Social Networks. : Morgan Kaufmann Publishers Inc. [Details]
|(2016)|| 'SOMA: The Smart Social Customer Relationship Management Tool'
Luca Dini, André Bittar, Cécile Robin, Frédéric Segond, Miquel Montaner (2016) 'SOMA: The Smart Social Customer Relationship Management Tool' In: Sentiment Analysis in Social Networks. Burlington, Massachusetts: Morgan Kaufmann. [DOI] [Details]
|(2017)|| Internation Conference on Artificial Intelligence and Law
James O’Neill, Paul Buitelaar, Cécile Robin, Leona OBrien (2017) Classifying Sentential Modality in Legal Language: A Use Case in Financial Regulations, Acts and Directives Internation Conference on Artificial Intelligence and Law London, United Kingdom, , 12-JUN-17 - 16-JUN-17 , pp.159-169 [DOI] [ARAN Link] [Details]
|(2017)|| 8th Language & Technology Conference 2017
Cécile Robin, James O'Neill, Paul Buitelaar (2017) Automatic Taxonomy Generation: A Use-Case in the Legal Domain 8th Language & Technology Conference 2017 Poznan, Poland, [DOI] [ARAN Link] [Details]
|(2016)|| Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge
Filip Povolny, Pavel Matejka, Michal Hradis, Anna Popková , Lubomir Otrusina, Pavel Smrz, Ian Wood, Cécile Robin, Lori Lamel (2016) Multimodal Emotion Recognition for AVEC 2016 Challenge Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge Amsterdam, The Netherlands, , 16-OCT-16 - 16-OCT-16 , pp.75-82 [DOI] [Details]
|(2015)|| 22ème édition Traitement Automatique des Langues Naturelles
Cédric Lopez , Aleksandra Ponomareva, Cécile Robin, André Bittar, Paolo Curtoni, Xabier Larrucea, Frédérique Segond, Marie-Hélène Metzger (2015) Un système expert fondé sur une analyse sémantique pour l’identification de menaces dordre biologique 22ème édition Traitement Automatique des Langues Naturelles Caen, France, [Details]
|Employer||Position||From / To|
|Insight Centre for Data Analytics||Research Assistant||01-FEB-16 /|
|Insight Centre for Data Analytics||Research Associate||01-DEC-18 /|
|Holmes Semantic Solutions||Computational Linguist||01-OCT-13 / 31-JAN-16|
|2013||Université Stendhal Grenoble 3 (France)||MASTERS DEGREE (LEVEL 9)||Natural Language Processing|