Skip to main content
SpringerLink
Log in
Book cover

European Conference on Technology Enhanced Learning

EC-TEL 2013: Scaling up Learning for Sustained Impact pp 627–628Cite as

Detecting Implicit References in Chats Using Semantics

  • Conference paper

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

Abstract

Chat conversations with multiple participants are widely used in solving a wide range of CSCL tasks. One of the reasons for their success is that they encourage multiple conversation threads to exist in parallel, thus allowing multiple topics and ideas to be debated at the same time. These threads may be detected more easily if we would be able to identify the links that exist between the utterances of a conversation. This paper tries to explain whether semantic similarity measures from Natural Language Processing (NLP) may be successfully used to detect the links between utterances in CSCL chat conversations.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Stahl, G.: Studying Virtual Math Teams. Springer, New York (2009)

    Book  MATH  Google Scholar 

  2. Trausan-Matu, S., Rebedea, T.: Polyphonic inter-animation of voices in VMT. In: Stahl, G. (ed.) Studying Virtual Math Teams, pp. 451–473. Springer, New York (2009)

    Chapter  Google Scholar 

  3. Rebedea, T., Trausan-Matu, S., Chiru, C.: Inter-animation between Utterances in Collaborative Chat Conversations. In: Lim, H.L., Sudweeks, F. (eds.) Innovative Methods and Technologies for Electronic Discourse Analysis. IGI Global (2013)

    Google Scholar 

  4. Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by latent semantic analysis. Journal of the American Society for Information Science 41, 391–407 (1990)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

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

    Traian Rebedea & Gabriel-Marius Gutu

Authors
  1. Traian Rebedea
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gabriel-Marius Gutu
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Rebedea, T., Gutu, GM. (2013). Detecting Implicit References in Chats Using Semantics. 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_84

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-40814-4_84

  • 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)

Publish with us

Policies and ethics

Search

Navigation