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Applications of Natural Language Techniques in Solving SmartHome Use-Cases

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Natural Language Processing and Information Systems (NLDB 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10260))

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Abstract

This paper demonstrates approaches in solving use-cases arising in smart home scenarios which includes activity discovery and routine recommendation for home automation using principles that essentially applies to the field of natural language processing. We have developed methods and built a prototype system to address such use-cases. All the components are built using state of the art natural language techniques and the results are shown to be meaningful when applied in context of addressing smart home use-cases.

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Notes

  1. 1.

    https://deeplearning4j.org/word2vec.

  2. 2.

    http://ailab.wsu.edu/casas/datasets/aruba2.zip.

  3. 3.

    http://ailab.wsu.edu/casas/about.html.

References

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Correspondence to Parnab Kumar Chanda .

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Chanda, P.K., Varshney, N., Subash, A. (2017). Applications of Natural Language Techniques in Solving SmartHome Use-Cases. In: Frasincar, F., Ittoo, A., Nguyen, L., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2017. Lecture Notes in Computer Science(), vol 10260. Springer, Cham. https://doi.org/10.1007/978-3-319-59569-6_24

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  • DOI: https://doi.org/10.1007/978-3-319-59569-6_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59568-9

  • Online ISBN: 978-3-319-59569-6

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