The automatic recognition based on the grade relationship between words of clustering

DOI

10.2991/icismme-15.2015.291How to use a DOI?

Keywords

Automatic identification of hierarchy relationship; Thesaurus; Correlation concept space; Co-occurrence analysis; clustering

Abstract

At present, how to use computer technology to automatically identify the relationships between thesaurus of equivalent, grade and related semantic relationships automatically is a key point and also a difficulty for the automatic construction of thesaurus. This paper introduces three typical of concept about hierarchical relationship identification methods: which base on co-occurrence statistics, distribution similarity calculation and syntactic pattern matching, respectively. This paper proposed novel words hierarchical relationship identification method combined co-occurrence statistics and distribution similarity calculation, which demonstrated to be feasible and effective.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Juxiang Hu
AU  - Xueqiang Lv
AU  - Liping Xu
PY  - 2015/07
DA  - 2015/07
TI  - The automatic recognition based on the grade relationship between words of clustering
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 1360
EP  - 1365
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.291
DO  - 10.2991/icismme-15.2015.291
ID  - Hu2015/07
ER  -