scholarly journals An Algorithm of Query Expansion for Chinese EMR Retrieval by Improving Expansion Term Weights and Retrieval Scores

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 200063-200072
Author(s):  
Songchun Yang ◽  
Xiangwen Zheng ◽  
Xiangfei Yin ◽  
Huajian Mao ◽  
Dongsheng Zhao
Keyword(s):  
Query Expansion ◽  
Expansion Term ◽  
Term Weights

scholarly journals Relevance Feedback Based Query Expansion Model Using Borda Count and Semantic Similarity Approach

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Jagendra Singh ◽  
Aditi Sharan
Keyword(s):  
Semantic Similarity ◽  
Relevance Feedback ◽  
Query Expansion ◽  
Selection Method ◽  
Rank Aggregation ◽  
Borda Count ◽  
Selection Methods ◽  
Expansion Term ◽  
User Query ◽  
The Individual

Pseudo-Relevance Feedback (PRF) is a well-known method of query expansion for improving the performance of information retrieval systems. All the terms of PRF documents are not important for expanding the user query. Therefore selection of proper expansion term is very important for improving system performance. Individual query expansion terms selection methods have been widely investigated for improving its performance. Every individual expansion term selection method has its own weaknesses and strengths. To overcome the weaknesses and to utilize the strengths of the individual method, we used multiple terms selection methods together. In this paper, first the possibility of improving the overall performance using individual query expansion terms selection methods has been explored. Second, Borda count rank aggregation approach is used for combining multiple query expansion terms selection methods. Third, the semantic similarity approach is used to select semantically similar terms with the query after applying Borda count ranks combining approach. Our experimental results demonstrated that our proposed approaches achieved a significant improvement over individual terms selection method and related state-of-the-art methods.

Query expansion based on global dependency parsing analysis

2013 ◽  
Author(s):  
Qinyuan Xiang ◽  
Weijiang Li ◽  
Hui Deng ◽  
Feng Wang
Keyword(s):  
Query Expansion ◽  
Dependency Parsing

Query expansion based on context of document and search result

2009 ◽  
Vol 29 (3) ◽  
pp. 852-853
Author(s):  
Hui JIANG ◽  
Xiao-hua YANG
Keyword(s):  
Query Expansion ◽  
Search Result

Name disambiguation based on query expansion

2013 ◽  
Vol 32 (9) ◽  
pp. 2488-2490
Author(s):  
Xin-xin YANG ◽  
Pei-feng LI ◽  
Qiao-ming ZHU
Keyword(s):  
Query Expansion ◽  
Name Disambiguation

Query Expansion based on Term Distribution and DBpedia Features

2021 ◽  
pp. 114909
Author(s):  
Sarah Dahir ◽  
Abderrahim El Qadi ◽  
Hamid Bennis
Keyword(s):  
Query Expansion
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