Automatic extraction of cause-effect information from medical abstracts
This study seeks to develop an information extraction system focusing on cause-effect information. The system is developed to make use of linguistic clues to identify and extract cause-effect information that is explicitly expressed in text. The approach adopted is the pattern matching and slot fill...
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| Other Authors: | |
| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/2409 |
| _version_ | 1811695441627054080 |
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| author | Niu, Yun. |
| author2 | Chan, Syin |
| author_facet | Chan, Syin Niu, Yun. |
| author_sort | Niu, Yun. |
| collection | NTU |
| description | This study seeks to develop an information extraction system focusing on cause-effect information. The system is developed to make use of linguistic clues to identify and extract cause-effect information that is explicitly expressed in text. The approach adopted is the pattern matching and slot filling approach typically used in Information Extraction systems. |
| first_indexed | 2024-10-01T07:23:31Z |
| format | Thesis |
| id | ntu-10356/2409 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T07:23:31Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/24092023-03-04T00:29:33Z Automatic extraction of cause-effect information from medical abstracts Niu, Yun. Chan, Syin School of Computer Engineering Khoo, Christopher Soo Guan DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition This study seeks to develop an information extraction system focusing on cause-effect information. The system is developed to make use of linguistic clues to identify and extract cause-effect information that is explicitly expressed in text. The approach adopted is the pattern matching and slot filling approach typically used in Information Extraction systems. Master of Engineering (SCE) 2008-09-17T09:02:26Z 2008-09-17T09:02:26Z 2001 2001 Thesis http://hdl.handle.net/10356/2409 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Niu, Yun. Automatic extraction of cause-effect information from medical abstracts |
| title | Automatic extraction of cause-effect information from medical abstracts |
| title_full | Automatic extraction of cause-effect information from medical abstracts |
| title_fullStr | Automatic extraction of cause-effect information from medical abstracts |
| title_full_unstemmed | Automatic extraction of cause-effect information from medical abstracts |
| title_short | Automatic extraction of cause-effect information from medical abstracts |
| title_sort | automatic extraction of cause effect information from medical abstracts |
| topic | DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition |
| url | http://hdl.handle.net/10356/2409 |
| work_keys_str_mv | AT niuyun automaticextractionofcauseeffectinformationfrommedicalabstracts |