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A Web Mining Tool for Assistance with Creative Writing

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Advances in Information Retrieval (ECIR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7814))

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Abstract

We develop a web mining tool for assistance with creative writing. The relevance of web mining is achieved via computing similarities of parse trees for queries and found snippets. To assure the plausible flow of mental states of involved agents, a multi-agent behavior simulator is included in content generation algorithm.

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References

  1. Galitsky, B., de la Rosa, J.L.: Concept-based learning of human behavior for customer relationship management. Information Sciences 181(10), 2016–2035 (2011)

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  3. Galitsky, B., de la Rosa, J.L., Dobrocsi, G.: Inferring the semantic properties of sentences by mining syntactic parse trees. Data & Knowledge Engineering 82-82, 21–45 (2012)

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  4. Galitsky, B.: Machine Learning of Syntactic Parse Trees for Search and Classification of Text. Engineering Application of Artificial Intelligence (2013), doi: dx.doi.org/10.1016/j.engappai.2012.09.017

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Author information

Authors and Affiliations

  1. eBay Inc., San Jose, CA, USA

    Boris A. Galitsky

  2. Higher School of Economics, Moscow, Russia

    Sergei O. Kuznetsov

Authors
  1. Boris A. Galitsky
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  2. Sergei O. Kuznetsov
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Editor information

Editors and Affiliations

  1. Yandex, Leo Tolstoy, 16, 119021, Moscow, Russia

    Pavel Serdyukov  & Ilya Segalovich  & 

  2. Kontur Labs and Ural Federal University, Fonvizina 3-27, 620078, Yekaterinburg, Russia

    Pavel Braslavski

  3. National Research University Higher School of Economics (HSE), Pokrovskii bd 11, 109028, Moscow, Russia

    Sergei O. Kuznetsov

  4. University of Amsterdam, Turfdraagsterpad 9, 1012 XT, Amsterdam, The Netherlands

    Jaap Kamps

  5. Knowledge Media Institute, The Open University, Walton Hall, MK7 6AA, Milton Keynes, UK

    Stefan Rüger

  6. Mathematics & Computer Science Department, Emory University, 400 dowman Drive, 30329, Atlanta, GA, USA

    Eugene Agichtein

  7. Department of Computer Science, University College London, Gower Street, WC1E 6BT, London, UK

    Emine Yilmaz

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© 2013 Springer-Verlag Berlin Heidelberg

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Galitsky, B.A., Kuznetsov, S.O. (2013). A Web Mining Tool for Assistance with Creative Writing. In: Serdyukov, P., et al. Advances in Information Retrieval. ECIR 2013. Lecture Notes in Computer Science, vol 7814. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36973-5_95

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  • DOI: https://doi.org/10.1007/978-3-642-36973-5_95

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36972-8

  • Online ISBN: 978-3-642-36973-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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