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

Yunita Sari; Mohd Fadzil Hassan; Norshuhani Zamin; IEEE Computer Society

doi:10.1109/ICCTD.2009.227

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Conference proceeding

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

Yunita Sari, Mohd Fadzil Hassan, Norshuhani Zamin and IEEE Computer Society

PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTER TECHNOLOGY AND DEVELOPMENT, VOL 1, Vol.1, pp.515-519

01/01/2009

DOI: https://doi.org/10.1109/ICCTD.2009.227

Abstract

Computer Science

Computer Science, Theory & Methods

Engineering

Engineering, Electrical & Electronic

Science & Technology

Technology

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.

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Title: Creating Extraction Pattern by Combining Part of Speech Tagger and Grammatical Parser
Creators - without role: Yunita Sari - Petronas
Mohd Fadzil Hassan - Petronas
Norshuhani Zamin - Petronas
IEEE Computer Society
Publication Details: PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTER TECHNOLOGY AND DEVELOPMENT, VOL 1, Vol.1, pp.515-519
Publisher: IEEE
Number of pages: 5
Identifiers: 9910096708331
Academic Unit: Saudi Electronic University
Language: English
Resource Type: Conference proceeding