Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

A method for Chinese Noun Phrase Recognition Base on Word Co-occurrence Directed Graph

Authors
Xinglin Liu
Corresponding Author
Xinglin Liu
Available Online May 2014.
DOI
https://doi.org/10.2991/iccia.2012.106How to use a DOI?
Keywords
Atomic word, Noun phrase, Word co-occurrence directed graph, Knowledge acquisition, Natural Language Processing
Abstract
This paper proposes a recognition method for Chinese Noun Phrase based on word co-occurrence directed graph. An input document is firstly scanned in which noun word string is retrieved. Atomic word table and word co-occurrence directed graph is then generated according to the word strings. A search is performed on the graph to find the longest paths with priority weight satisfying certain criteria. The word strings corresponding to the paths are considered as noun phrases. As dimensionality reduction is applied, the scale of the word co-occurrence directed graph is reduced significantly, and thus the efficiency of the algorithm is improved. Experimental results demonstrate that the precision of noun phrase recognition reaches 95.4%.
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Proceedings
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-91216-41-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccia.2012.106How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xinglin Liu
PY  - 2014/05
DA  - 2014/05
TI  - A method for Chinese Noun Phrase Recognition Base on Word Co-occurrence Directed Graph
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 441
EP  - 445
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.106
DO  - https://doi.org/10.2991/iccia.2012.106
ID  - Liu2014/05
ER  -