Measuring prevalence of other-oriented transactive contributions using an automated measure of speech style accommodation

Author:

Gweon Gahgene,Jain Mahaveer,McDonough John,Raj Bhiksha,Rosé Carolyn P.

Publisher

Springer Science and Business Media LLC

Subject

Human-Computer Interaction,Education

Reference57 articles.

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2. Ang, J., Dhillon, R., Krupski, A., Shriberg, E., Stolcke, A. (2002). Prosody-based automatic detection of annoyance and frustration in human-computer dialog. In Proc. International Conference on Spoken Language Processing (ICSLP 2002) (pp. 2037–2039). Denver, CO.

3. Arnold, A., Nallapati, R., Cohen, W. (2008). Exploiting feature hierarchy for transfer learning in named entity recognition. In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (pp. 245–253).

4. Azmitia, M., & Montgomery, R. (1993). Friendship, transactive dialogues, and the development of scientific reasoning. Social Development, 2, 202–221.

5. Berkowitz, M., & Gibbs, J. (1979). Unpublished manual for coding transactivity.

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