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

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...

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Main Authors: Sari, Y., Hassan, M.F., Zamin, N.
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/1685/
http://scholars.utp.edu.my/id/eprint/1685/1/Final_Paper-ICCTD.pdf
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author Sari, Y.
Hassan, M.F.
Zamin, N.
author_facet Sari, Y.
Hassan, M.F.
Zamin, N.
author_sort Sari, Y.
building UTP Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-13T07:25:55Z
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institution Universiti Teknologi Petronas
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language English
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spelling oai:scholars.utp.edu.my:16852017-01-19T08:25:11Z http://scholars.utp.edu.my/id/eprint/1685/ Creating Extraction Pattern by Combining Part of Speech Tagger and Grammatical Parser Sari, Y. Hassan, M.F. Zamin, N. QA75 Electronic computers. Computer science QA76 Computer software 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. 2009-11 Conference or Workshop Item PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/1685/1/Final_Paper-ICCTD.pdf 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. http://doi.ieeecomputersociety.org/10.1109/ICCTD.2009.227
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Sari, Y.
Hassan, M.F.
Zamin, N.
Creating Extraction Pattern by Combining Part of Speech Tagger and Grammatical Parser
title Creating Extraction Pattern by Combining Part of Speech Tagger and Grammatical Parser
title_full Creating Extraction Pattern by Combining Part of Speech Tagger and Grammatical Parser
title_fullStr Creating Extraction Pattern by Combining Part of Speech Tagger and Grammatical Parser
title_full_unstemmed Creating Extraction Pattern by Combining Part of Speech Tagger and Grammatical Parser
title_short Creating Extraction Pattern by Combining Part of Speech Tagger and Grammatical Parser
title_sort creating extraction pattern by combining part of speech tagger and grammatical parser
topic QA75 Electronic computers. Computer science
QA76 Computer software
url http://scholars.utp.edu.my/id/eprint/1685/
http://scholars.utp.edu.my/id/eprint/1685/
http://scholars.utp.edu.my/id/eprint/1685/1/Final_Paper-ICCTD.pdf