Section: Partnerships and Cooperations
European Initiatives
FP7 & H2020 Projects
COMPRISE
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Project title: Cost-effective, Multilingual, Privacy-driven voice-enabled Services
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Other partners: Inria Magnet, Ascora GmbH, Netfective Technology SA, Rooter Analysis SL, Saarland University, Tilde SIA
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Participants: Irène Illina, Denis Jouvet, Imran Sheikh, Brij Mohan Lal Srivastava, Mehmet Ali Tugtekin Turan, Emmanuel Vincent
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Abstract: COMPRISE will define a fully private-by-design methodology and tools that will reduce the cost and increase the inclusiveness of voice interaction technologies.
AI4EU
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Project title: European Artificial Intelligence On-Demand Platform and Ecosystem
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Abstract: The aim of AI4EU is to develop a European Artificial Intelligence ecosystem, from knowledge and algorithms to tools and resources.
CPS4EU
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Abstract: CPS4EU aims to develop key enabling technologies, pre-integration and development expertise to support the industry and research players’ interests and needs for emerging interdisciplinary cyber-physical systems (CPS) and securing a supply chain around CPS enabling technologies and products.
Collaborations in European Programs, Except FP7 & H2020
AMIS
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Other partners: University of Avignon, University of Science and Technology Krakow, University of DEUSTO (Bilbao)
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Participants: Dominique Fohr, Denis Jouvet, Odile Mella, Mohamed Amine Menacer
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Abstract: The idea is to develop a multilingual system to help people understand broadcast news in a foreign language and compare them to corresponding news available in the user's mother tongue. MULTISPEECH contributions concern mainly the speech recognition in French, English and Arabic videos.
M-PHASIS
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Project title: Migration and Patterns of Hate Speech in Social Media - A Cross-cultural Perspective
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Coordinators: Angeliki Monnier (CREM) and Christian Schemer (Johannes Gutenberg university)
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Partners: CREM (UL), LORIA (UL), JGUM (Johannes Gutenberg-Universität), SAAR (Saarland University)
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Participants: Irène Illina, Dominique Fohr, Ashwin Geet D'sa
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Abstract: Focusing on the social dimension of hate speech, M-PHASIS seeks to study the patterns of hate speech related to migrants, and to provide a better understanding of the prevalence and emergence of hate speech in user-generated content in France and Germany. MULTISPEECH contributions concern mainly the automatic detection of hate speech in social media.