Creating Extraction Pattern by Combining Part of Speech Tagger and Grammatical Parser
Yunita Alfina Puspita Sari, Mohd Fadzil Hassan, Norshuhani bt Zamin · 2009
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.