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Detecting Discourse Creativity in Chat Conversations

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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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© 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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