Word Semantic Variation Mining based on Pos-Word2vec and cloud-model

DOI

10.2991/icamcs-16.2016.16How to use a DOI?

Keywords

Word variation, Distributed word representations,Cloud model

Abstract

Words, as the basis of language, have relative stability.But it is also gradually developing. The language variation and change has been an important subfield in sociolinguistics, and has made remarkable achievements.But there is seldom research conducted from the aspect of the natural language processing.This paper applied the distributed word representations to map the word semantic,and used the cloud model to calculate the variation of the word.The experiment shows that our approach achieves better semantic information and useful results in semantic variation and change analysis.

Copyright

© 2016, 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  - Maoyuan Zhang
AU  - Xiaohang Pan
AU  - Qiongyao Meng
PY  - 2016/06
DA  - 2016/06
TI  - Word Semantic Variation Mining based on Pos-Word2vec and cloud-model
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 78
EP  - 81
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.16
DO  - 10.2991/icamcs-16.2016.16
ID  - Zhang2016/06
ER  -