TY  - CONF
TI  - Creating extraction pattern by combining part of speech tagger and grammatical parser
Y1  - 2009///
N1  - 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
AV  - none
SN  - 9780769538921
A1  - Sari, Y.
A1  - Hassan, M.F.
A1  - Zamin, N.
SP  - 515
KW  - 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
KW  -  Character recognition; Semantic Web
KW  -  Pattern recognition systems
CY  - Kota Kinabalu
VL  - 1
EP  - 519
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951132626&doi=10.1109%2fICCTD.2009.227&partnerID=40&md5=0ba863b0aa539b5cf0c5b17a509dbe19
ID  - scholars586
N2  - 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.
ER  -