A method for Chinese Noun Phrase Recognition Base on Word Co-occurrence Directed Graph
Available Online May 2014.
- https://doi.org/10.2991/iccia.2012.106How to use a DOI?
- Atomic word, Noun phrase, Word co-occurrence directed graph, Knowledge acquisition, Natural Language Processing
- 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%.
- 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 -