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Query expansion and query reduction in document retrieval [PDF]
Proceedings. 15th IEEE International Conference on Tools with Artificial Intelligence, 2004 We investigate two seemingly incompatible approaches for improving document retrieval performance in the context of question answering: query expansion and query reduction. Queries are expanded by generating lexical paraphrases. Syntactic, semantic and corpus-based frequency information is used in this process.
Ingrid Zukerman +2 more
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Evidence combination for multi-point query learning in content-based image retrieval [PDF]
, 2004 In multipoint query learning a number of query representatives are selected based on the positive feedback samples. The similarity score to a multipoint query is obtained from merging the individual scores.
Jose, J.M., Urban, J.
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WORD SENSE DISAMBIGUATION METHOD USING SEMANTIC SIMILARITY MEASURES AND OWA OPERATOR [PDF]
ICTACT Journal on Soft Computing, 2015 Query expansion (QE) is the process of reformulating a query to improve retrieval performance. Most of the times user's query contains ambiguous terms which adds relevant as well as irrelevant terms to the query after applying current query expansion ...
Kanika Mittal, Amita Jain
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Improving Pseudo-Relevance Feedback With Neural Network-Based Word Representations
IEEE Access, 2018 In information retrieval, query expansion methods, such as pseudo-relevance feedback, are designed to enrich users' queries with relevant terms for comprehensively interpreting the desired information.
Bo Xu +4 more
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A Query Expansion Method Using Multinomial Naive Bayes
Applied Sciences, 2021 Information retrieval (IR) aims to obtain relevant information according to a certain user need and involves a great diversity of data such as texts, images, or videos. Query expansion techniques, as part of information retrieval (IR), are used to obtain
Sergio Silva +4 more
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An Initial Investigation of Query Expansion Bias [PDF]
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017 Query expansion is a useful retrieval mechanism for creating more verbose queries from the users initial keyword search. Query expansion generally have multiple parameters that allowthe user to define how many terms and where those terms come from are introduced to the expanded query.
Wilkie, Colin, Azzopardi, Leif
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Query expansion based on clustered results [PDF]
Proceedings of the VLDB Endowment, 2011 Query expansion is a functionality of search engines that suggests a set of related queries for a user-issued keyword query. Typical corpus-driven keyword query expansion approaches return popular words in the results as expanded queries. Using these approaches, the expanded queries may correspond to a subset of possible query semantics, and thus miss ...
Ziyang Liu +2 more
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Ranks Aggregation and Semantic Genetic Approach based Hybrid Model for Query Expansion
International Journal of Computational Intelligence Systems, 2017 Effective query expansion terms selection methods are really very important for improving the accuracy and efficiency of Pseudo-Relevance Feedback (PRF) based automatic query expansion techniques in information retrieval system.
Jagendra Singh
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IEEE Access, 2021 English is an international language used for communication worldwide but still many cannot read, write, understand, or communicate in English. On the other hand, the World Wide Web has unlimited resources of information in different languages which ...
Ayman A. Taan +4 more
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Improving Retrieval Results with discipline-specific Query Expansion [PDF]
, 2012 Choosing the right terms to describe an information need is becoming more difficult as the amount of available information increases. Search-Term-Recommendation (STR) systems can help to overcome these problems. This paper evaluates the benefits that may
Lüke, Thomas +2 more
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