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Cluster Computing

, Volume 22, Supplement 3, pp 7003–7013 | Cite as

Intelligent sentence retrieval using semantic word based answer generation algorithm with cuckoo search optimization

  • Karpagam KanagarajanEmail author
  • Saradha Arumugam
Article

Abstract

The question answering system is a major area in information retrieval field to get the appropriate answers to the user query instead of list of documents. Nowadays huge amount of documents uploaded in the Internet every day and the extraction of required information from those documents is a challenging and tedious task. In this paper, POS-tagger based question pattern analysis has applied for recognize the question type. Also introduce the semantic words based answer generator algorithm to extract semantic similar sentences for user query using Wordnet from the knowledgebase. The cuckoo search optimization algorithm has applied with the semantic words based answer generator algorithm to improve accuracy of retrieved sentences. The proposed algorithm is experimented with the benchmark datasets, obtained results are compared and found that outer performs than other optimization algorithms.

Keywords

Cuckoo search optimization Information retrieval POS-tagger Optimization techniques Question answering system Semantic similarity Wordnet 

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Computer ApplicationsDr. Mahalingam College of Engineering and TechnologyPollachiIndia
  2. 2.Department of Computer Science and EngineeringInstitute of Road and Transport TechnologyErodeIndia

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