The Title of the Paper: A Query Expansion Method Oriented Sentence Component Similarity Calculation
Authors: 
Jiwei Yang, Zenghua Liao, Chunhui He, Bin GeAuthors Info & Claims
Pages 186 - 193
Abstract
Using short sentences as input for information retrieval can obtain richer semantic features than keywords and their combination. On the basis of Sentence trunk extraction, a Query Expansion Oriented sentence-Component Similarity Calculation (QE-SCSC) is proposed. In this method, keywords of different components in query statements were extracted, and the semantic extension of keywords was carried out from similarity and relevance based on ontology, and the weight of extended keywords is adjusted by comprehensively considering the original weight, relation weight, component weight and proportion. Experimental results show that the QE-SCSC method can greatly improve the query accuracy under the premise of ensuring the recall ratio.
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Published In
September 2021
225 pages
ISBN:9781450384094
DOI:10.1145/3488838
Copyright © 2021 ACM.
© 2021 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 25 February 2022
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