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

DOI

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%.

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  - 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  - 10.2991/iccia.2012.106
ID  - Liu2014/05
ER  -