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Self-learning improvement by means of cloud computing

Author

Listed:
  • Gicu Călin DEAC

    (University POLITEHNICA of Bucharest, Splaiul Independentei nr. 313, Sector 6, Bucharest)

  • Crina Narcisa DEAC

    (University POLITEHNICA of Bucharest, Splaiul Independentei nr. 313, Sector 6, Bucharest)

  • Costel Emil Cotet

    (University POLITEHNICA of Bucharest, Splaiul Independentei nr. 313, Sector 6, Bucharest)

  • Mihalache GHINEA

    (University POLITEHNICA of Bucharest, Splaiul Independentei nr. 313, Sector 6, Bucharest)

Abstract

This paper describes some results of authors' research in machine reading at scale as a support for self-learning, which combines the challenges of document retrieval (finding the relevant articles) with that of machine comprehension of text (identifying the answer spans from those articles). Our approach combines a search component based on bigram hashing and TF-IDF (term frequency–inverse document frequency) matching with a multi-layer recurrent neural network model trained to detect answers in Wikipedia paragraphs.

Suggested Citation

  • Gicu Călin DEAC & Crina Narcisa DEAC & Costel Emil Cotet & Mihalache GHINEA, 2017. "Self-learning improvement by means of cloud computing," International Conference on Economic Sciences and Business Administration, Spiru Haret University, vol. 4(1), pages 101-108, November.
    • Handle: RePEc:icb:wpaper:v:4:y:2017:i:1:101-108
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    File URL: http://icesba.eu/RePEc/icb/wpaper/ICESBA2017_Deac_P101-108.pdf
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    More about this item

    Keywords

    self-learning; NLP; machine learning;
    All these keywords.

    JEL classification:

    • I29 - Health, Education, and Welfare - - Education - - - Other

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