The week's pick
Reseach Article
Persian Named Entity Recognition based with Local Filters
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 100 - Number 4 |
| Year of Publication: 2014 |
| Authors: Morteza Kolali Khormuji, Mehrnoosh Bazrafkan |
10.5120/17510-8062
|
Morteza Kolali Khormuji, Mehrnoosh Bazrafkan . Persian Named Entity Recognition based with Local Filters. International Journal of Computer Applications. 100, 4 ( August 2014), 1-6. DOI=10.5120/17510-8062
Abstract
Persian (Farsi) language named entity recognition is a challenging, difficult, yet important task in natural language processing. This paper presents an approach based on a Local Filters model to recognize Persian (Farsi) language named entities. It uses multiple dictionaries, which are freely available on the Web. A dictionary is a collection of phrases that describe named entities. The framework is composed of two stages: (1) detection of named entity candidates using dictionaries for lookups and (2) filtering of false positives based. Dictionary lookups are performed using an efficient prefix-tree data structure. Our dictionary ?? based recognizer performs on Persian (Farsi) language with up to 88. 95% precision, 79. 65% recall, and an 82. 73% F1 score using ASEM.
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