Prof. Marie-Francine (Sien) Moens is a professor at the Department of Computer Science of the Katholieke Universiteit Leuven, Belgium. She holds a M.Sc. and a Ph.D. degree in Computer Science from this university. She is the Head of the Language Intelligence and Information retrieval (LIIR) research group. Her main interests are in the domain of automated content retrieval and extraction from text using a combination of statistical, machine learning, and symbolic techniques and exploiting insights from linguistic and cognitive theories.
Prof. Annie Morin is a professor of at the Department of Computer Science and Electrical Engineering of the University of Rennes, France. She holds a M.Sc. degree in Computer Science and Operational Research from the University of Montreal, Canada and a PhD in Computer Science from the University of Rennes. She is Elected Member of the International Statistical Institute. Her main interests are statistical data analysis, statistical learning, text and image mining.
Prof. Jean-Hughes Chauchat is an emeritus professor at Université Lumière Lyon2, working in ERIC (Entrepôts, Représentation et Ingénierie des Connaissances – literally Warehouses, Representation and Knowledge Engineering) lab. He holds a M.Sc of Economics from Université Panthéon-Sorbonne (Paris-1), a M.Sc. in Statistics from Université Pierre et Marie Curie (Paris-6) and a PhD in Applied Math from Université Claude Bernard (Lyon-1). He is Elected Member of the International Statistical Institute. His research interests cover data science, data mining and, more specifically, statistical textual analysis.
Dr. Ivan Vulić is a postdoctoral researcher at the Language Intelligence and Information retrieval (LIIR) research group at the Department of Computer Science of the Katholieke Universiteit Leuven, Belgium. His research interests cover natural language processing, information retrieval, and machine learning theory and applications, mostly in multilingual settings, including, but not limited to modeling semantic similarity, bilingual lexicon extraction, cross-lingual and multilingual information retrieval, latent topic models, terminology mining and alignment, and machine translation.
Prof. Sebastian Pado is a professor of at the Institute for Natural Language Processing at the University of Stuttgart where he is the Head of the Computational Semantics Group. His research activities are centered around the development of representations for the meaning of natural language words and phrases that can be acquired from corpora.
Dr. Kentaro Torisawa is a Director of the Information Analysis Laboratory, at the Universal Communication Research Institute, NICT in Kyoto. The research activities of the Laboratory include focus on three major topics topics: creating large-scale language resources by applying NLP technologies and automatic knowledge acquisition methods to Web data, development of Web services and applications that can behave intelligently by using language resources acquired from the Web, and development of basic NLP tools, including morphological analyzers and parsers.