%D 2009
%R 10.1109/ICCTD.2009.227
%O cited By 3; Conference of 2009 International Conference on Computer Technology and Development, ICCTD 2009 ; Conference Date: 13 November 2009 Through 15 November 2009; Conference Code:79880
%L scholars586
%J ICCTD 2009 - 2009 International Conference on Computer Technology and Development
%X Most of the previous works in the field of extraction pattern are based on the usage of syntactic analyzer and semantic tagger to create a pattern that could extract relevant information from free text documents or more structured documents like web pages. In this paper, we propose an approach to create a set of extraction pattern by combining a particular Part Of Speech (POS) tagger and Grammatical Parser, i.e. Stanford POS Tagger and Link Grammar Parser (LG). The extraction pattern will be used in a Name Entity Recognition (NER) system to identify the occurrences of some entities in free text documents. We demonstrate the algorithm on accident report as a case study. © 2009 IEEE.
%K Extraction patterns; Free texts; Grammatical structure; Link grammar; Name entity recognition; Part Of Speech; Part-of-speech tagger; PoS taggers; Semantic tagger; Stanford; Structured document; Syntactic analyzers; Web page, Character recognition; Semantic Web, Pattern recognition systems
%P 515-519
%C Kota Kinabalu
%T Creating extraction pattern by combining part of speech tagger and grammatical parser
%V 1
%A Y. Sari
%A M.F. Hassan
%A N. Zamin