Presentation 2005-09-21
Developmental Word Grounding Through Growing Neural Network with Humanoid Robot
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper presents an unsupervised approach of integrating speech and visual information without using any prepared data, which enables a humanoid robot to learn words with their meanings. The approach is different from most other existing approaches in that it learns online from audio-visual input, rather than from stationary data provided in advance. In addition, it is capable of learning incrementally which is considered to be indispensable to lifelong learning. A noise-robust self-organized growing neural network is developed to represent the topological structure of unsupervised online data. We are also developing an active learning mechanism, called."desire for knowledge", to let the robot select the object with the least information for subsequent learning. Experimental results show that it makes the learning process more efficient.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) word grounding / natural language processing / cognitive modelling / cognitive simulation
Paper # NLC2005-30,PRMU2005-57
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Conference Information
Committee NLC
Conference Date 2005/9/14(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Developmental Word Grounding Through Growing Neural Network with Humanoid Robot
Sub Title (in English)
Keyword(1) word grounding
Keyword(2) natural language processing
Keyword(3) cognitive modelling
Keyword(4) cognitive simulation
1st Author's Name Ryo KOJIMA
1st Author's Affiliation Tokyo Institute of Technology()
2nd Author's Name Osamu HASEGAWA
2nd Author's Affiliation Tokyo Institute of Technology
Date 2005-09-21
Paper # NLC2005-30,PRMU2005-57
Volume (vol) vol.105
Number (no) 299
Page pp.pp.-
#Pages 6
Date of Issue