relation: https://khub.utp.edu.my/scholars/586/
title: Creating extraction pattern by combining part of speech tagger and grammatical parser
creator: Sari, Y.
creator: Hassan, M.F.
creator: Zamin, N.
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. © 2009 IEEE.
date: 2009
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Sari, Y. and Hassan, M.F. and Zamin, N.  (2009) Creating extraction pattern by combining part of speech tagger and grammatical parser.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951132626&doi=10.1109%2fICCTD.2009.227&partnerID=40&md5=0ba863b0aa539b5cf0c5b17a509dbe19
relation: 10.1109/ICCTD.2009.227
identifier: 10.1109/ICCTD.2009.227