| Publons ID | (not set) |
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| Wos ID | WOS:000291831500106 |
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| Doi | 10.1109/ICCTD.2009.227 |
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| Title | Creating Extraction Pattern by Combining Part of Speech Tagger and Grammatical Parser |
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| Authors | Sari, Y; Hassan, MF; Zamin, N; |
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| Publish Date | 2009 |
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| Journal Name | PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTER TECHNOLOGY AND DEVELOPMENT, VOL 1 |
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| Citation | |
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| 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. |
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| Publish Type | Book |
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| Publish Year | 2009 |
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| Page Begin | 515 |
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| Page End | 519 |
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| Url | https://www.webofscience.com/wos/woscc/full-record/WOS:000291831500106 |
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| Author | Ners YUNITA SARI, Ph.D |
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| File | 108479.pdf |
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