@inproceedings{scholars586,
            year = {2009},
         journal = {ICCTD 2009 - 2009 International Conference on Computer Technology and Development},
           pages = {515--519},
          volume = {1},
            note = {cited By 3; Conference of 2009 International Conference on Computer Technology and Development, ICCTD 2009 ; Conference Date: 13 November 2009 Through 15 November 2009; Conference Code:79880},
             doi = {10.1109/ICCTD.2009.227},
           title = {Creating extraction pattern by combining part of speech tagger and grammatical parser},
         address = {Kota Kinabalu},
        keywords = {Extraction patterns; Free texts; Grammatical structure; Link grammar; Name entity recognition; Part Of Speech; Part-of-speech tagger; PoS taggers; Semantic tagger; Stanford; Structured document; Syntactic analyzers; Web page, Character recognition; Semantic Web, Pattern recognition systems},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951132626&doi=10.1109\%2fICCTD.2009.227&partnerID=40&md5=0ba863b0aa539b5cf0c5b17a509dbe19},
        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. {\^A}{\copyright} 2009 IEEE.},
          author = {Sari, Y. and Hassan, M. F. and Zamin, N.},
            isbn = {9780769538921}
}