Hendrik Zender

Hendrik Zender
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Main area of research
Natural language & AI

Hendrik Zender is a Senior Research Engineer in the Dialog Optimization team. His research interests are in the areas of natural language and dialog processing, AI, human-robot interaction, and knowledge representation for intelligent assistants. Before joining Nuance, Hendrik was with the Language Technology Lab at the German Research Center for Artificial Intelligence (DFKI), where he was a member of the Talking Robots group (http://talkingrobots.dfki.de ), working mostly on linguistic models and spatial knowledge representation for intelligent robotic systems. He collaborated with many researchers from academic institutions across Europe in the the EU-funded FP7 research projects CogX ( http://cogx.eu) and NIFTi ( http://www.nifti.eu ), as well as in the FP6 project CoSy ( http://cognitivesystems.org). He attended Saarland University in Saarbrücken, where he received a Diploma degree and a Ph.D. in computational linguistics.

Selected articles

Introduction to the Special Issue on Machine Learning for Multiple Modalities in Interactive Systems and Robots

ACM Transactions on Interactive Intelligent Systems (TiiS) – Special Issue on Multiple Modalities in Interactive Systems and Robots. Vol. 4, Issue 3. ACM. This special

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Expectations, Intentions, and Actions in Human-Robot Interaction

International Journal of Social Robotics, Special Issue “Expectations, Intentions & Actions”. Vol. 4, Issue 2. pp. 107–108. Springer Verlag. Human-robot interaction is becoming increasingly complex

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Anchor-Progression in Spatially Situated Discourse: a Production Experiment

Proceedings of the Sixth International Natural Language Generation Conference (INLG 2010). The paper presents two models for producing and understanding situationally appropriate referring expressions (REs)

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Situated Resolution and Generation of Spatial Referring Expressions for Robotic Assistants

Twenty-first International Joint Conference on Artificial Intelligence (IJCAI-09). AAAI. In this paper we present an approach to the task of generating and resolving referring expressions

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Conceptual Spatial Representations for Indoor Mobile Robots

Robotics and Autonomous Systems, Special Issue “From Sensors to Human Spatial Concepts”. Vol. 56, Issue 6. pp. 493–502. Elsevier. We present an approach for creating

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