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Detecting Discourse Creativity in Chat Conversations

  • Conference paper
Scaling up Learning for Sustained Impact (EC-TEL 2013)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8095))

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Abstract

In this paper we propose a new method for identifying creativity that is based on analyzing a corpus of chat conversations on the same topic and extracting the new ideas expressed by participants. The application is a first step in supporting creativity in online group discussions by highlighting the novel concepts present in conversations (new ideas) and also by identifying topics that could have become important, if not forgotten during the debates (lost ideas).

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References

  1. Rebedea, T., Dascalu, M., Trausan-Matu, S., Armitt, G., Chiru, C.: Automatic Assessment of Collaborative Chat Conversations with PolyCAFe. In: Kloos, C.D., Gillet, D., Crespo García, R.M., Wild, F., Wolpers, M. (eds.) EC-TEL 2011. LNCS, vol. 6964, pp. 299–312. Springer, Heidelberg (2011)

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  3. Veale, T.: Creative language retrieval: A robust hybrid of information retrieval and linguistic creativity. In: Proceedings of ACL 2011, Portland, Oregon, USA, pp. 278–287 (2011)

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  4. Zhu, X., Xu, Z., Khot, T.: How creative is your writing? a linguistic creativity measure from computer science and cognitive psychology perspectives. In: Proceedings of the Workshop on Computational Approaches to Linguistic Creativity, pp. 87–93. ACL (2009)

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, University Politehnica of Bucharest, 313 Splaiul Independetei, Bucharest, Romania

    Costin-Gabriel Chiru & Traian Rebedea

Authors
  1. Costin-Gabriel Chiru
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  2. Traian Rebedea
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Editor information

Editors and Affiliations

  1. Universitat Pompeu Fabra, Barcelona, Spain

    Davinia Hernández-Leo

  2. Tallinn University, Estonia

    Tobias Ley

  3. Advanced Community Information Systems (ACIS) Group, RWTH Aachen University, Ahornstr. 55, 52056, Aachen, Germany

    Ralf Klamma

  4. Catholic University Eichstätt-Ingolstadt, 85072, Eichstätt,, Germany

    Andreas Harrer

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© 2013 Springer-Verlag Berlin Heidelberg

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Chiru, CG., Rebedea, T. (2013). Detecting Discourse Creativity in Chat Conversations. In: Hernández-Leo, D., Ley, T., Klamma, R., Harrer, A. (eds) Scaling up Learning for Sustained Impact. EC-TEL 2013. Lecture Notes in Computer Science, vol 8095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40814-4_69

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  • DOI: https://doi.org/10.1007/978-3-642-40814-4_69

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40813-7

  • Online ISBN: 978-3-642-40814-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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