A web based method for Measuring Semantic Relatedness between words

DOI

10.2991/iccsee.2013.547How to use a DOI?

Keywords

Semantic relatedness, Web mining, Web search, Kernel functions

Abstract

Semantic relatedness measures play important roles in many fields, such as information retrieval and Nature Language Processing. There are mainly two kinds of traditional methods to measure semantic relatedness: dictionary based and corpus based. However, with the development of information technology, web search engine is used to do this work. In this paper, we propose a method integrating page counts and web-based kernel function for measuring semantic relatedness between words. It gets a better result than using page counts and web-based kernel function alone. Experimental results show Spearman rank correlation coefficient can reach 0.63 and Correlation reach 0.724.

Copyright

© 2013, 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  - Bo You
AU  - Tingting He
AU  - Fang Li
PY  - 2013/03
DA  - 2013/03
TI  - A web based method for Measuring Semantic Relatedness between words
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2178
EP  - 2181
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.547
DO  - 10.2991/iccsee.2013.547
ID  - You2013/03
ER  -