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ArgueTutor: An Adaptive Dialog-Based Learning System for Argumentation Skills
International Conference on Human Factors in Computing Systems, 2021Techniques from Natural-Language-Processing offer the opportunities to design new dialog-based forms of human-computer interaction as well as to analyze the argumentation quality of texts.
Thiemo Wambsganss +3 more
semanticscholar +1 more source
Computer Vision and Pattern Recognition, 2016
We introduce the task of Visual Dialog, which requires an AI agent to hold a meaningful dialog with humans in natural, conversational language about visual content. Specifically, given an image, a dialog history, and a question about the image, the agent
Abhishek Das +7 more
semanticscholar +1 more source
We introduce the task of Visual Dialog, which requires an AI agent to hold a meaningful dialog with humans in natural, conversational language about visual content. Specifically, given an image, a dialog history, and a question about the image, the agent
Abhishek Das +7 more
semanticscholar +1 more source
Christianity & Literature, 1967
Classification systems in the sciences usually provide an unambiguous structure of mutually exclusive, collectively exhaustive categories. The same formal structuralization, when strictly applied to the classification of technical literature for retrieval purposes, has proved inadequate.
Scott H. Cameron +2 more
+4 more sources
Classification systems in the sciences usually provide an unambiguous structure of mutually exclusive, collectively exhaustive categories. The same formal structuralization, when strictly applied to the classification of technical literature for retrieval purposes, has proved inadequate.
Scott H. Cameron +2 more
+4 more sources
IEEE Transactions on Neural Networks and Learning Systems
With the continuous development of deep learning (DL), the task of multimodal dialog emotion recognition (MDER) has recently received extensive research attention, which is also an essential branch of DL.
Wei Ai, Yuntao Shou, Tao Meng, Keqin Li
semanticscholar +1 more source
With the continuous development of deep learning (DL), the task of multimodal dialog emotion recognition (MDER) has recently received extensive research attention, which is also an essential branch of DL.
Wei Ai, Yuntao Shou, Tao Meng, Keqin Li
semanticscholar +1 more source
Das Stärken des demokratischen Bewusstseins junger Menschen ist eine der zentralen Aufgaben von Schule. Aus schultheoretischer Sicht kann Schule jedoch weder Demokratie „herstellen“ noch wird sie direkt von ihr gesteuert. Vielmehr wird Demokratie im schulischen Alltag sichtbar: Durch Zusammenarbeit, das Kennenlernen unterschiedlicher Perspektiven sowie
Hörmann, Bernadette, Kramer, Martin
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Hörmann, Bernadette, Kramer, Martin
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2018
Dialogical logic characterizes logical constants (such as ‘and’, ‘or’, ‘for all’) by their use in a critical dialogue between two parties: a proponent who has asserted a thesis and an opponent who challenges it. For each logical constant, a rule specifies how to challenge a statement that displays the corresponding logical form, and how to respond to ...
openaire +3 more sources
Dialogical logic characterizes logical constants (such as ‘and’, ‘or’, ‘for all’) by their use in a critical dialogue between two parties: a proponent who has asserted a thesis and an opponent who challenges it. For each logical constant, a rule specifies how to challenge a statement that displays the corresponding logical form, and how to respond to ...
openaire +3 more sources

