Skip to main content
SpringerLink
Log in
Book cover

Canadian Conference on Artificial Intelligence

Canadian AI 2015: Advances in Artificial Intelligence pp 141–154Cite as

Analyzing Productivity Shifts in Meetings

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9091))

Abstract

Group productivity can vary between and within meetings, and here we consider the case of productivity shifting within meetings. We divide a meeting into intervals and measure the productivity of each interval using the number of summary-worthy sentences contained therein. We evaluate the relationship between productivity and a variety of linguistic and structural features, using correlation and regression analysis. We then attempt to identify the point at which productivity shifts in meetings, using Bayesian changepoint analysis.

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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Galley, M.: A skip-chain conditional random field for ranking meeting utterances by importance. In: Proc. of EMNLP 2006, 364–372, Sydney, Australia (2006)

    Google Scholar 

  2. Xie, S., Favre, B., Hakkani-Tür, D., Liu, Y.: Leveraging sentence weights in a concept-based optimization framework for extractive meeting summarization. In: Proc. of Interspeech 2009, Brighton, England (2009)

    Google Scholar 

  3. Murray, G., Carenini, G., Ng, R.: The impact of asr on abstractive vs. extractive meeting summaries. In: Proc. of Interspeech 2010, Tokyo, Japan, pp. 1688–1691 (2010)

    Google Scholar 

  4. Murray, G., Carenini, G., Ng, R.: Generating and validating abstracts of meeting conversations: a user study. In: Proc. of INLG 2010, Dublin, Ireland, pp. 105–113 (2010)

    Google Scholar 

  5. Mehdad, Y., Carenini, G., Tompa, F., Ng, R.: Abstractive meeting summarization with entailment and fusion. In: Proc. of ENLG 2013, Sofia, Bulgaria, pp. 136–146 (2013)

    Google Scholar 

  6. Liu, F., Liu, Y.: Towards abstractive speech summarization: Exploring unsupervised and supervised approaches for spoken utterance compression. IEEE Transactions on Audio, Speech and Language Processing 21(7), 1469–1480 (2013)

    Article  Google Scholar 

  7. Wang, L., Cardie, C.: Domain-independent abstract generation for focused meeting summarization. In: Proc. of ACL 2013, Sofia, Bulgaria, pp. 1395–1405 (2013)

    Google Scholar 

  8. Carenini, G., Murray, G., Ng, R.: Methods for Mining and Summarizing Text Conversations, 1st edn. Morgan Claypool, San Rafael (2011)

    Google Scholar 

  9. Purver, M., Dowding, J., Niekrasz, J., Ehlen, P., Noorbaloochi, S.: Detecting and summarizing action items in multi-party dialogue. In: Proc. of the 9th SIGdial Workshop on Discourse and Dialogue, Antwerp, Belgium (2007)

    Google Scholar 

  10. Hsueh, P.-Y., Moore, J.D.: Automatic Decision Detection in Meeting Speech. In: Popescu-Belis, A., Renals, S., Bourlard, H. (eds.) MLMI 2007. LNCS, vol. 4892, pp. 168–179. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  11. Renals, S., Bourlard, H., Carletta, J., Popescu-Belis, A.: Multimodal Signal Processing: Human Interactions in Meetings, 1st edn. Cambridge University Press, New York (2012)

    Book  Google Scholar 

  12. Murray, G.: Learning How Productive and Unproductive Meetings Differ. In: Sokolova, M., van Beek, P. (eds.) Canadian AI. LNCS, vol. 8436, pp. 191–202. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  13. Murray, G.: Resources for analyzing productivity in group interactions. In: Proc. of LREC 2014 Workshop on Multi-Modal Corpora, Reykjavik, Iceland, pp. 39–42 (2014)

    Google Scholar 

  14. Jarrett, R.: A Note on the Intervals Between Coal-Mining Disasters. Biometrika 66(1), 191–193 (1979)

    Article  Google Scholar 

  15. Gill, J.: Bayesian Methods: A Social and Behavioral Sciences Approach, 2nd edn. Chapman & Hall, London (2008)

    Google Scholar 

  16. Taboada, M., Brooke, J., Tofiloski, M., Voll, K., Stede, M.: Lexicon-based methods for sentiment analysis. Computational Linguistics 37(2), 267–307 (2011)

    Article  Google Scholar 

  17. Carletta, J.E., et al.: The AMI Meeting Corpus: A Pre-announcement. In: Renals, S., Bengio, S. (eds.) MLMI 2005. LNCS, vol. 3869, pp. 28–39. Springer, Heidelberg (2006)

    Google Scholar 

  18. Janin, A., Baron, D., Edwards, J., Ellis, D., Gelbart, D., Morgan, N., Peskin, B., Pfau, T., Shriberg, E., Stolcke, A., Wooters, C.: The ICSI meeting corpus. In: Proc. of IEEE ICASSP 2003, Hong Kong, China, pp. 364–367 (2003)

    Google Scholar 

  19. Fearnhead, P.: Exact and efficient bayesian inference for multiple changepoint problems. Statistics and Computing 16(2), 203–213 (2006)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of the Fraser Valley, Abbotsford, BC, Canada

    Gabriel Murray

Authors
  1. Gabriel Murray
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gabriel Murray .

Editor information

Editors and Affiliations

  1. University of Alberta, Edmonton, Canada

    Denilson Barbosa

  2. Dalhousie University, Halifax, Canada

    Evangelos Milios

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Murray, G. (2015). Analyzing Productivity Shifts in Meetings. In: Barbosa, D., Milios, E. (eds) Advances in Artificial Intelligence. Canadian AI 2015. Lecture Notes in Computer Science(), vol 9091. Springer, Cham. https://doi.org/10.1007/978-3-319-18356-5_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-18356-5_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18355-8

  • Online ISBN: 978-3-319-18356-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation