What is it about?
This paper presents a system architecture and algorithm for the disambiguation problem in human–robot interaction.
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Why is it important?
Currently, when we have a communication with robot, there are ambiguity problems which lead to a misunderstanding. Conventional methods only identify ambiguity in limited ways and in few contexts due to the cost of doing so. The proposed method using real Hangul input object (RHINO) cloud identifies ambiguous words,
Perspectives
This process reflects the fluctuation of associated words’ social cultures because it searches words in real time.
Sukjae Choi
Kyung Hee University
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This page is a summary of: Unsupervised method of word sense disambiguation for real time associated word identification in human-robot interaction, International Journal of Advanced Media and Communication, January 2016, Inderscience Publishers,
DOI: 10.1504/ijamc.2016.079088.
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