Dialogue Systems for Intelligent Human Computer Interactions | Zendy

Erinç Merdivan | Zendy; Deepika Singh | Zendy; Sten Hanke | Zendy; Andreas Holzinger | Zendy

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Dialogue Systems for Intelligent Human Computer Interactions

Author(s) -

Erinç Merdivan,

Deepika Singh,

Sten Hanke,

Andreas Holzinger

Publication year - 2019

Publication title -

electronic notes in theoretical computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.242

H-Index - 60

ISSN - 1571-0661

DOI - 10.1016/j.entcs.2019.04.010

Subject(s) - computer science , vocabulary , task (project management) , gesture , artificial intelligence , human–computer interaction , natural language processing , mechanism (biology) , linguistics , philosophy , management , epistemology , economics

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.

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