Creating Extraction Pattern by Combining Part of Speech Tagger and Grammatical Parser

Publons ID(not set)
Wos IDWOS:000291831500106
Doi10.1109/ICCTD.2009.227
TitleCreating Extraction Pattern by Combining Part of Speech Tagger and Grammatical Parser
First Author
Last Author
AuthorsSari, Y; Hassan, MF; Zamin, N;
Publish Date2009
Journal NamePROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTER TECHNOLOGY AND DEVELOPMENT, VOL 1
Citation
AbstractMost 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.
Publish TypeBook
Publish Year2009
Page Begin515
Page End519
Issn
Eissn
Urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:000291831500106
AuthorProf. YUNITA SARI, S.Kep., Ns., MHS., Ph.D
File108479.pdf