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作者(中文):于思舞
作者(外文):Siul Lucy Urbina Amador
論文名稱(中文):Automatic Cause and Effect Extraction Based on Syntactic Similarity from Sentences with Causal Cue Words
論文名稱(外文):基於因果線索之語句句法相似度來自動擷取因果關係
指導教授(中文):蘇豐文
口試委員(中文):蘇豐文
石維寬
陳煥宗
學位類別:碩士
校院名稱:國立清華大學
系所名稱:資訊系統與應用研究所
學號:101065424
出版年(民國):103
畢業學年度:102
語文別:英文
論文頁數:26
中文關鍵詞:因果相似度語句句法
外文關鍵詞:Cause and EffectSimilarityCausal Cue Words
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Causality Extraction have a lot of application in different fields of the information technology such as development of systems that need to interact with humans,artificial intelligence applications, analysis of interpersonal relationships and public decision making, etc. In this research we propose a method for Automatic Cause and Effect Extraction based on Syntactic Similarity from Sentences with
Causal Cue Words.
1. Introduction .......................................................................................................................... 1
2. Related Work ........................................................................................................................ 2
3. Method ..................................................................................................................................... 5
3.1 The Data .............................................................................................................................. 5
3.2 Stanford Parser ................................................................................................................... 9
3.3 Jaccard Similarity Coefficients............................................................................................ 9
3.5 Similarity Based Causality Extraction............................................................................... 12
3.5 NP cue word NP ................................................................................................................ 15
4 Results ................................................................................................................................. 17
4.1 NP cue word NP ................................................................................................................ 17
4.2 Similarity Based Causality Extraction............................................................................... 18
4.3 Error Analysis .................................................................................................................... 19
5 Conclusions ........................................................................................................................... 1
6 References ............................................................................................................................ 1
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