| dc.contributor.advisor | 劉文卿 | zh_TW |
| dc.contributor.advisor | Liou,Wen Qing | en_US |
| dc.contributor.author (Authors) | 游舒帆 | zh_TW |
| dc.contributor.author (Authors) | Yu,Shu Fan | en_US |
| dc.creator (作者) | 游舒帆 | zh_TW |
| dc.creator (作者) | Yu,Shu Fan | en_US |
| dc.date (日期) | 2004 | en_US |
| dc.date.accessioned | 18-Sep-2009 14:36:22 (UTC+8) | - |
| dc.date.available | 18-Sep-2009 14:36:22 (UTC+8) | - |
| dc.date.issued (上傳時間) | 18-Sep-2009 14:36:22 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0923560161 | en_US |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/35272 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 資訊管理研究所 | zh_TW |
| dc.description (描述) | 92356016 | zh_TW |
| dc.description (描述) | 93 | zh_TW |
| dc.description.abstract (摘要) | 本研究主要在探討普林斯頓大學所開發出來的WordNet線上辭典是否適合用在語意結構(Semantic Structure)的表達上，在整個研究中，我們會先將重點放在WordNet架構的討論，接著研究關於WordNet在建立語意結構上的文獻，以在研究前先取得過去研究的狀況，並針對缺點提出改進方案，最後則進行模式的驗證與修改，期望能得出一個較具代表性且完整的WordNet語意結構。 本研究採用Jarmasz, Szpakowicz(2001)的語意距離計算模式併Resnik(1995)的相似度(similarity)計算模式，透過這兩個模式來計算出詞彙的距離，並以此距離來辨別語意的關係，最後透過117道證券考題來實證這個架構的正確性與完整性，並針對不足之處作補強修改，以達到較佳的結果。 本研究的主要限制為下列幾項：一、無法全盤的將證券業的所有的詞彙及其關係一次含括進來二、測試的題目無法完整代表所有的問題可能性三、由於最後結果並非實際架構與修改WordNet系統，僅僅是採用相似度 計算演算法算出結果，因此與實際機上測試難免會有所差距。四、並沒有針對WordNet中所有的關係都做定義，僅只挑選較具代表性的 幾個詞彙關係做定義，在細部上可能會有所影響。 | zh_TW |
| dc.description.abstract (摘要) | This paper is mainly focusing on does the Princeton WordNet fit the Semantic Structure. In this research, we’ll discuss the structure of WordNet, then the reference of WordNet in Semantic Structure. Before we get start, we may collect all the passed data, and study the data more detail. Then we can know the situation and result of passed reseach, so we can modify the model of pass. Finally, we hope we can get a more completed WordNet semantic structure. This paper uses the Jarmasz, Szpakowicz’s (2001) semantic distance and Resnik’s Similarity calculative model. Throughthis two models to calculating the distance between two words, and calculating the similarity. We collect 117 stock exam questions to verify the correctiveness and the completeness of this structure. And to complement the weakness, so we can have a more strong result.This research has three constraints:1.We can’t collect all words of stock domain2.The 117 questions can’t explain all probability of query3.We just run an algorithm to calculate the similarity, not real testing on WordNet system, so it may be some bias.4.Only identifying some chief words relationship, so it can not cover whole relations. | en_US |
| dc.description.tableofcontents | 第一章 緒 論 ---------------------------------11.1 研究背景與動機 ---------------------------------11.2 研究目的 ---------------------------------21.3 問題描述 ---------------------------------21.4 論文架構 ---------------------------------2第二章 文獻探討 ---------------------------------42.1 本體論(Ontology) ------------------------42.1.1 SUMO (Suggested Upper Merged Ontology) ------52.1.2 WordNet ---------------------------------52.1.3 索引典(Thesaurus) ------------------------62.2 WordNet架構 ---------------------------------72.2.1 動詞(Verb) ---------------------------------72.2.2 名詞(Noun) ---------------------------------92.2.3 形容詞(Adjective) -----------------------102.3 WordNet在驗證語意結構上的應用 --------------112.4 語意距離(semantic distance)與相似性(similarity)132.5 WordNet在計算相似性上的應用 --------------16第三章 研究架構與方法 -----------------------183.1 研究架構 --------------------------------183.2 詞彙篩選 --------------------------------183.3 詞彙關係定義 --------------------------------213.4 計算語意距離與相似度 -----------------------223.5 收集證券業考題 --------------------------------243.6 架構驗證─反覆的驗證方法 --------------24第四章 架構驗證 --------------------------------284.1 初始架構 --------------------------------284.2 新增詞彙庫 --------------------------------344.3 其他問題 --------------------------------364.3.1 第一個問題─關鍵字過多 --------------374.3.2 第二個問題─口語描述文字無法定義 -----394.3.3 第三個問題─邏輯判斷問題 --------------394.3.4 第四個問題─跨越詞性的定義 --------------404.3.5 最後一個問題─詞彙屬性定義不清 --------------41第五章 結論、預期貢獻與未來研究方向 --------------445.1 結論 -----------------------------------------445.2 研究限制 --------------------------------455.3 預期貢獻 --------------------------------465.4 未來研究方向 --------------------------------465.5 結語 -----------------------------------------47參考文獻 -----------------------------------------48 | zh_TW |
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| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0923560161 | en_US |
| dc.subject (關鍵詞) | 相似性 | zh_TW |
| dc.subject (關鍵詞) | 語意距離 | zh_TW |
| dc.subject (關鍵詞) | Similarity | en_US |
| dc.subject (關鍵詞) | Semantic distance | en_US |
| dc.subject (關鍵詞) | WordNet | en_US |
| dc.title (題名) | 利用WordNet建立證券領域的語意結構 | zh_TW |
| dc.type (資料類型) | thesis | en |
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