研究生: |
李怡慧 Lee, Yi-Hui |
---|---|
論文名稱: |
Search-Based Approach for Automatic Relation Extraction of Disease and Symptom Search-Based Approach for Automatic Relation Extraction of Disease and Symptom |
指導教授: |
柯佳伶
Koh, Jia-Ling |
學位類別: |
碩士 Master |
系所名稱: |
資訊工程學系 Department of Computer Science and Information Engineering |
論文出版年: | 2017 |
畢業學年度: | 105 |
語文別: | 英文 |
論文頁數: | 49 |
中文關鍵詞: | medical domain text mining 、relation extraction 、web-search data |
英文關鍵詞: | medical domain text mining, relation extraction, web-search data |
DOI URL: | https://doi.org/10.6345/NTNU202203029 |
論文種類: | 學術論文 |
相關次數: | 點閱:78 下載:0 |
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無中文摘要
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.
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