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

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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.

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Authors and Affiliations

  1. Department of Computer Applications, Dr. Mahalingam College of Engineering and Technology, Pollachi, 642003, India

    Karpagam Kanagarajan

  2. Department of Computer Science and Engineering, Institute of Road and Transport Technology, Erode, 638316, India

    Saradha Arumugam

Authors
  1. Karpagam Kanagarajan
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  2. Saradha Arumugam
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Correspondence to Karpagam Kanagarajan.

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Kanagarajan, K., Arumugam, S. Intelligent sentence retrieval using semantic word based answer generation algorithm with cuckoo search optimization. Cluster Comput 22 (Suppl 3), 7003–7013 (2019). https://doi.org/10.1007/s10586-018-2054-x

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  • DOI: https://doi.org/10.1007/s10586-018-2054-x

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