Abstract
This article describes a text-based , open-domain dialog system developed especially for social, smalltalk-like conversations. While much research is focused on goal-oriented dialog currently, in human-to-human communication many dialogs do not have a predefined goal. In order to achieve similar communication with a computer, we propose a framework which is easily extensible by combining different response patterns. The individual components are trained on web-crawled data. Using a data-driven approach, we are able to generate a large variety of answers to diverse user inputs.
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Schmidt, M., Niehues, J., Waibel, A. (2017). Towards an Open-Domain Social Dialog System. In: Jokinen, K., Wilcock, G. (eds) Dialogues with Social Robots. Lecture Notes in Electrical Engineering, vol 427. Springer, Singapore. https://doi.org/10.1007/978-981-10-2585-3_21
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DOI: https://doi.org/10.1007/978-981-10-2585-3_21
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