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 firstname.lastname@example.org; email@example.com Muhammad Wasim firstname.lastname@example.org Muhammad Nabeel Asim email@example.com Muhammad Usman Ghani firstname.lastname@example.org Zahoor Ur Rehman email@example.com Seungmin Rho firstname.lastname@example.org 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,
Multimedia Tools and Applications – Springer Journals
Published: Jun 4, 2018
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