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Analyzing Information Retrieval Results with a Focus on Named Entities

並列摘要


Experiments carried out within evaluation initiatives for information retrieval have been building a substantial resource for further detailed research. In this study, we present a comprehensive analysis of the data of the Cross Language Evaluation Forum (CLEF) from the years 2000 to 2004. Features of the topics are related to the detailed results of more than 100 runs. The analysis considers the performance of the systems for each individual topic. Named entities in topics revealed to be a major influencing factor on retrieval performance. They lead to a significant improvement of the retrieval quality in general and also for most systems and tasks. This knowledge, gained by data mining on the evaluation results, can be exploited for the improvement of retrieval systems as well as for the design of topics for future CLEF campaigns.

參考文獻


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被引用紀錄


Huang, Y. R. (2012). 高指向性及高效率兆赫波光子發射器之開發 [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2012.01717
周倍全(2013)。合作式代理人角色分配於足球機器人系統之研究〔碩士論文,國立中正大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0033-2110201613523165

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