Lexical paraphrasing and pseudo relevance feedback for biomedical document retrieval

Lexical paraphrasing and pseudo relevance feedback for biomedical document retrieval Multimed Tools Appl https://doi.org/10.1007/s11042-018-6060-z Lexical paraphrasing and pseudo relevance feedback for biomedical document retrieval 1,2 2 Muhammad Wasim · Muhammad Nabeel Asim · 1,2 3 Muhammad Usman Ghani · Zahoor Ur Rehman · 4 5 Seungmin Rho · Irfan Mehmood Received: 15 January 2018 / Revised: 28 March 2018 / Accepted: 24 April 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Term mismatch is a serious problem effecting the performance of information retrieval systems. The problem is more severe in biomedical domain where lot of term variations, abbreviations and synonyms exist. We present query paraphrasing and various term selection combination techniques to overcome this problem. To perform paraphras- ing, we use noun words to generate synonyms from Metathesaurus. The new synthesized paraphrases are ranked using statistical information derived from the corpus and relevant Irfan Mehmood irfanmehmood@ieee.org; irfan@sejong.ac.kr Muhammad Wasim wasim@kics.edu.pk Muhammad Nabeel Asim nabeel.asim@kics.edu.pk Muhammad Usman Ghani usman.ghani@kics.edu.pk Zahoor Ur Rehman xahoor@ciit-attock.edu.pk Seungmin Rho korea.smrho@gmail.com Department of Computer Science and Engineering, University of Engineering and Technology, Lahore, Pakistan Al-Khawarizmi Institute of Computer Science, University of Engineering and Technology (UET), Lahore, Pakistan Department of Computer Science Institute of Information Technology, Attock, Pakistan Department of Media Software, http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

Lexical paraphrasing and pseudo relevance feedback for biomedical document retrieval

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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-018-6060-z
Publisher site
See Article on Publisher Site

Abstract

Multimed Tools Appl https://doi.org/10.1007/s11042-018-6060-z Lexical paraphrasing and pseudo relevance feedback for biomedical document retrieval 1,2 2 Muhammad Wasim · Muhammad Nabeel Asim · 1,2 3 Muhammad Usman Ghani · Zahoor Ur Rehman · 4 5 Seungmin Rho · Irfan Mehmood Received: 15 January 2018 / Revised: 28 March 2018 / Accepted: 24 April 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Term mismatch is a serious problem effecting the performance of information retrieval systems. The problem is more severe in biomedical domain where lot of term variations, abbreviations and synonyms exist. We present query paraphrasing and various term selection combination techniques to overcome this problem. To perform paraphras- ing, we use noun words to generate synonyms from Metathesaurus. The new synthesized paraphrases are ranked using statistical information derived from the corpus and relevant Irfan Mehmood irfanmehmood@ieee.org; irfan@sejong.ac.kr Muhammad Wasim wasim@kics.edu.pk Muhammad Nabeel Asim nabeel.asim@kics.edu.pk Muhammad Usman Ghani usman.ghani@kics.edu.pk Zahoor Ur Rehman xahoor@ciit-attock.edu.pk Seungmin Rho korea.smrho@gmail.com Department of Computer Science and Engineering, University of Engineering and Technology, Lahore, Pakistan Al-Khawarizmi Institute of Computer Science, University of Engineering and Technology (UET), Lahore, Pakistan Department of Computer Science Institute of Information Technology, Attock, Pakistan Department of Media Software,

Journal

Multimedia Tools and ApplicationsSpringer Journals

Published: Jun 4, 2018

References

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