Abstract: In recent years, interactive systems and dialogue generation in natural language processing
have attracted attention. Particularly due to the spread of chat bots to call centers, accurate human
interactive response is required. On the other hand, qualitative interactions in sociology's
ethnomethodology and discourse analysis / conversation analysis are beneficial. Therefore, once again,
using the Japanese language learner conversation data corpus of the National Institute of Japanese
Language, it is a consideration aiming to verify the effect and apply it to the tendency of dialogue
collapse and dialogue generation.
This is a slide for the invited talk at The 4th Workshop on Naturalistic Driving Data Analytics,
IEEE IV2017, Los Angeles, 11th June, 2017.
This talk summarizes a series of work on a symbolization approach toward naturalistic driving behavior data.
Most of the works are conducted by collaboration between DESNO co. and Ritsumeikan university
Abstract: In recent years, interactive systems and dialogue generation in natural language processing
have attracted attention. Particularly due to the spread of chat bots to call centers, accurate human
interactive response is required. On the other hand, qualitative interactions in sociology's
ethnomethodology and discourse analysis / conversation analysis are beneficial. Therefore, once again,
using the Japanese language learner conversation data corpus of the National Institute of Japanese
Language, it is a consideration aiming to verify the effect and apply it to the tendency of dialogue
collapse and dialogue generation.
This is a slide for the invited talk at The 4th Workshop on Naturalistic Driving Data Analytics,
IEEE IV2017, Los Angeles, 11th June, 2017.
This talk summarizes a series of work on a symbolization approach toward naturalistic driving behavior data.
Most of the works are conducted by collaboration between DESNO co. and Ritsumeikan university
Symbol Emergence in Robotics: Language Acquisition via Real-world Sensorimoto...Tadahiro Taniguchi
Invited talk at Gatsby-Kakenhi Joint Workshop on AI and Neuroscience, London, 12th May, 2017
This talk is delivered as a part of the session about artificial general intelligence.
Symbol emergence in robotics can be regarded as a research activity contributing to develop an AGI.
Nonparametric Bayesian Word Discovery for Symbol Emergence in RoboticsTadahiro Taniguchi
This is a material for invited talk in the workshop on Machine Learning Methods for High-
Level Cognitive Capabilities in Robotics 2016 (ML-HLCR2016) held in IROS2016, Korea.
15. Semiotic Prediction of Driving Behavior using
Unsupervised Double Articulation Analyzer
Published in Intelligent Vehicle 2012
Giving theoretical probability to incomplete hidden words
View from driver’s seat Language Model
fd afa
?
Averaged number of correctly
predicted hidden states
Histogram
Segment
Collaborative work with DENSO