Search-Based Approach for Automatic Relation Extraction of Disease and Symptom
| dc.contributor | 柯佳伶 | zh_TW |
| dc.contributor | Koh, Jia-Ling | en_US |
| dc.contributor.author | 李怡慧 | zh_TW |
| dc.contributor.author | Lee, Yi-Hui | en_US |
| dc.date.accessioned | 2019-09-05T11:13:12Z | |
| dc.date.available | 不公開 | |
| dc.date.available | 2019-09-05T11:13:12Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | 無中文摘要 | zh_TW |
| dc.description.abstract | In this thesis, we focus on automatically constructing the relationship between disease and symptoms by online encyclopedia and web search result, including the ranking of the candidate symptoms and the condition of why the symptom is related to that symptom. The contribution of this thesis is as follows (1) Search-Based Approach can extract the Conditional Relationship in good performance (2)Conditional Relationship can help user gain more information(3) We build a medical domain Knowledge Base can be implement in NLP tools. | en_US |
| dc.description.sponsorship | 資訊工程學系 | zh_TW |
| dc.identifier | G060447007S | |
| dc.identifier.uri | http://etds.lib.ntnu.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dstdcdr&s=id=%22G060447007S%22.&%22.id.& | |
| dc.identifier.uri | http://rportal.lib.ntnu.edu.tw:80/handle/20.500.12235/106443 | |
| dc.language | 英文 | |
| dc.subject | medical domain text mining | zh_TW |
| dc.subject | relation extraction | zh_TW |
| dc.subject | web-search data | zh_TW |
| dc.subject | medical domain text mining | en_US |
| dc.subject | relation extraction | en_US |
| dc.subject | web-search data | en_US |
| dc.title | Search-Based Approach for Automatic Relation Extraction of Disease and Symptom | zh_TW |
| dc.title | Search-Based Approach for Automatic Relation Extraction of Disease and Symptom | en_US |