Empirical Studies for Intuitive Interaction
作者： Iryna Gurevych , Robert Porzel
关键词: Annotation 、 Computational linguistics 、 Data type 、 Data science 、 Work (electrical) 、 Computer science 、 Language technology 、 Empirical research 、 Field (computer science) 、 Statistical model
摘要: We present three types of data collections and their experimental paradigms. The resulting were employed to conduct a number annotation experiments, create evaluation gold standards train statistical models. data, experiments analyses highlight the importance data-driven empirical laboratory field work for research on intuitive multimodal human-computer interfaces.
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tu-darmstadt.de
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Iryna Gurevych, Robert Porzel, Michael Strube, Annotating semantic consistency of speech recognition hypotheses Proceedings of the 3rd SIGdial workshop on Discourse and dialogue -. pp. 46- 49 ,(2002) , 10.3115/1118121.1118128
Iryna Gurevych, Rainer Malaka, Robert Porzel, Hans-Péter Zorn, Semantic coherence scoring using an ontology Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - NAACL '03. pp. 9- 16 ,(2003) , 10.3115/1073445.1073457