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Assessing the Influences of Specific Domain Articles, Keywords and the Number of Dimension Reduction on the Effect of Building Semantic Space and the Validity Using LSA as a Tool for Evaluating Summarization

By 藍敏杰 and Min-Jie Lan


[[abstract]]The main purpose of this research is to observe how the three factors–specific domain article (P), the keyword (K) and the number of dimension reduction (S)–influence semantic space building and evaluation effects. Using the summarization evaluation system developed by this research to build the semantic space consist of three factors above. Then we analyze the correlation between cosine value cacluated by each semantic space and two teachers’s scoring. The participants are the 107 students of Er-Chong elementary school. After analysis of two summarizing experiments, the results of the research are: In experiment I, the correlation between two teachers’ grades and the LSA cosine is significant. But in experiment II, the correlation between two teachers’ grades and the LSA cosine is inconsistent. Therefore, base on the LSA cosine, we could not get the consistent results in different literary forms.

Topics: 摘要;摘要寫作評量;潛在語意分析;奇異值分解;語意空間, summaries;summaries evaluation;LSA;SVD;semantic space, [[classification]]25
Year: 2011
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