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Dialogue Systems for Intelligent Human Computer Interactions

Merdivan, Erinc ; Singh, Deepika ; Hanke, Sten ; Holzinger, Andreas

Electronic notes in theoretical computer science, 2019-05, Vol.343, p.57-71

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Título:
Dialogue Systems for Intelligent Human Computer Interactions
Autor: Merdivan, Erinc ; Singh, Deepika ; Hanke, Sten ; Holzinger, Andreas
Assuntos: chatbots ; dialogue system ; image-based method ; Machine Learning ; Statistics
É parte de: Electronic notes in theoretical computer science, 2019-05, Vol.343, p.57-71
Descrição: The most fundamental communication mechanism for interaction is dialogues involving speech, gesture, semantic and pragmatic knowledge. Various researches on dialogue management have been conducted focusing on standardized model for goal oriented applications using machine learning and deep learning models. The paper presents the overview on existing methods for dialogue manager training; their advantages and limitations. Furthermore, a new image-based method is used in Facebook bAbI Task 1 dataset in Out Of Vocabulary setting. The results show that using dialogue as an image performs well and helps dialogue manager in expanding out of vocabulary dialogue tasks in comparison to Memory Networks.
Editor: Elsevier B.V
Idioma: Inglês

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