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

Sari, Y. and Hassan, M.F. and Zamin, N. (2009) Creating Extraction Pattern by Combining Part of Speech Tagger and Grammatical Parser. In: International Conference on Computer Technology and Development (ICCTD 2009), 13-15 November 2009, Kota Kinabalu, Sabah, Malaysia.

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Official URL: http://doi.ieeecomputersociety.org/10.1109/ICCTD.2...

Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:1685
Deposited By: Dr Mohd Fadzil Hassan
Deposited On:09 May 2010 16:51
Last Modified:19 Jan 2017 08:25

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