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4C: Continuous Cognitive Career Companions

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Artificial Intelligence in Education (AIED 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10331))

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Abstract

We explore the evolution of digital career advising companions for the rapidly growing knowledge economies to enable continuous evaluation and re-skilling of workforce in a wide range of domains. These companions deal with a variety of unstructured data sources to glean actionable insights. We present our experiences from building one such companion, and describe interesting natural language processing and machine learning challenges and open problems.

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References

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Author information

Authors and Affiliations

  1. IBM T.J. Watson Research Center, Yorktown Heights, NY, USA

    Bhavna Agrawal, Rong Liu, Ravi Kokku, Yi-Min Chee, Ashish Jagmohan & Satya Nitta

  2. Deakin Digital, Melbourne, Australia

    Michael Tan & Sherry Sin

Authors
  1. Bhavna Agrawal
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  2. Rong Liu
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  3. Ravi Kokku
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  4. Yi-Min Chee
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  5. Ashish Jagmohan
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  6. Satya Nitta
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  7. Michael Tan
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  8. Sherry Sin
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Corresponding author

Correspondence to Bhavna Agrawal .

Editor information

Editors and Affiliations

  1. Human-Centered Multimedia, University of Augsburg, Augsburg, Germany

    Elisabeth André

  2. University of Pennsylvania, Philadelphia, Pennsylvania, USA

    Ryan Baker

  3. Department of Psychology, University of Memphis, Memphis, Tennessee, USA

    Xiangen Hu

  4. Ateneo de Manila University, Quezon City, Philippines

    Ma. Mercedes T. Rodrigo

  5. University of Sussex, Brighton, United Kingdom

    Benedict du Boulay

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© 2017 Springer International Publishing AG

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Cite this paper

Agrawal, B. et al. (2017). 4C: Continuous Cognitive Career Companions. In: André, E., Baker, R., Hu, X., Rodrigo, M., du Boulay, B. (eds) Artificial Intelligence in Education. AIED 2017. Lecture Notes in Computer Science(), vol 10331. Springer, Cham. https://doi.org/10.1007/978-3-319-61425-0_78

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  • DOI: https://doi.org/10.1007/978-3-319-61425-0_78

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61424-3

  • Online ISBN: 978-3-319-61425-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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