Concept-based lexical-semantic unsupervised learning system

1st International Scientific School on Methods of Digital Image Processing in Optics and Photonics

物理学;计算机科学

Filatov, V.I.^1

Saint Petersburg National Research University of Information Technologies, Mechanics and Optics, 49 Kronverkskiy pr., Saint-Petersburg

197101, Russia^1

关键词: Automatic knowledge acquisition;    Concept learning;    Concept-based;    Feature extraction and constructions;    Lexical semantics;    Linguistic data;    Mutual informations;    Recognition rates;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/536/1/012016/pdf
DOI  :  10.1088/1742-6596/536/1/012016

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Concept learning is essential for automatic knowledge acquisition and consists in linking semantic and linguistic data together. In this work, a system of concept learning, which mimics to some extent human infant learning, is presented. This system performs visual and audial feature extraction and construction of concept database by maximizing of their mutual information. Experiments show 90% recognition rate of learnt concepts.