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A Multimodal Analytics Platform for Journalists Analyzing Large-Scale, Heterogeneous Multilingual, and Multimedia Content
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In: Front Robot AI (2018)
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MULTISENSOR: development of multimedia content integration technologies for journalism, media monitoring and international exporting decision support
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A multimodal analytics platform for journalists analyzing large-scale, heterogeneous multilingual, and multimedia content
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A Hybrid approach for biomedical relation extraction using finite state automata and random forest-weighted fusion
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Towards a multimedia knowledge-based agent with social competence and human interaction capabilities
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Wanner, Leo; Blat, Josep; Dasiopoulou, Stamatia; Domínguez Bajo, Mónica; Llorach, Gerard; Mille, Simon; Sukno, Federico Mateo; Kamateri, Eleni; Kompatsiaris, Ioannis; Vrochidis, Stefanos; André, Elisabeth; Lingenfelser, Florian; Mehlmann, Gregor; Stam, Andries; Stellingwerff, Ludo; Lamel, Lori; Vieru, Bianca; Minker, Wolfgang; Pragst, Louisa; Ultes, Stefan. - : ACM Association for Computer Machinery
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Abstract:
We present work in progress on an intelligent embodied conversation agent in the basic care and healthcare domain. In contrast to most of the existing agents, the presented agent is aimed to have linguistic cultural, social and emotional competence needed to interact with elderly and migrants. It is composed of an ontology-based and reasoning-driven dialogue manager, multimodal communication analysis and generation modules and a search engine for the retrieval of multimedia background content from the web needed for conducting a conversation on a given topic. ; The presented work is funded by the European Commission under the contract number H2020-645012-RIA.
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Keyword:
Dialogue; Embodied agent; Multimodal communication; Retrieval
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URL: https://doi.org/10.1145/2927006.2927011 http://hdl.handle.net/10230/27219
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