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New Technology of Library and Information Service  2012, Vol. 28 Issue (2): 1-9    DOI: 10.11925/infotech.1003-3513.2012.02.01
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A Design Framework for Speech Act Taxonomy of Online Group Discussion
Li Jia1,2, Zhang Pengzhu2, Li Xinmiao3
1. School of Business, East China University of Science and Technology, Shanghai 200237, China;
2. Antai College of Economics & Management, Shanghai Jiaotong University, Shanghai 200052, China;
3. School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai 200433, China
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Abstract  The lacking of studies on speech act analysis in Chinese context can be attributed to the short of speech act taxonomies.This research follows the paradigm of design science by proposing the design requirement for speech act taxonomy, and develops an iterative process that contains five steps to satisfy the design requirement. Further, the authors develop speech act taxonomy for E-learning environment based on the proposed methodology, and evaluate its discernment and generalization ability. The successful application in E-learning environment validates the effectiveness of proposed design framework for speech act taxonomy.
Key wordsSpeech act      Taxonomy      Online discussion      Discernment ability      Generalization ability     
Received: 11 January 2012      Published: 23 March 2012



Cite this article:

Li Jia, Zhang Pengzhu, Li Xinmiao. A Design Framework for Speech Act Taxonomy of Online Group Discussion. New Technology of Library and Information Service, 2012, 28(2): 1-9.

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[1] Austin J L. How to Do Things with Words [M]. Cambridge: Harvard University Press, 1962.

[2] Prasad R, Walker M. Training a Dialogue Act Tagger for Human-Human and Human-Computer Travel Dialogues [C]. In:Proceedings of the 3rd SIGdial Workshop on Discourse and Dialogue,Philadelphia, Pennsylvania.2002.

[3] Fernandez R, Ginzburg J, Lappin S. Using Machine Learning for Non-sentential Utterance Classification [C]. In:Proceedings of the 6th SIGdial Workshop on Discourse and Dialogue,Lisbon, Portugal.2005.

[4] Lendvai P, van den Bosch A, Krahmer E. Machine Learning for Shallow Interpretation of User Utterances in Spoken Dialogue Systems [C].In:Proceedings of the EACL-03 Workshop on Dialogue Systems: Interaction, Adaptation and Styles of Management,Budapest, Hungary.2003.

[5] Allen J, Core M. Draft of DAMSL: Dialog Act Markup in Several Layers [OL].[2012-01-12].

[6] Levin L, Ries K, Thyme-Gobbel A, et al. Tagging of Speech Acts and Dialogue Games in Spanish Call Home [C]. In:Proceedings of the ACL Workshop "Towards Standards and Tools for Discourse Tagging", Somerset, NJ,USA. 1998.

[7] Reithinger N, Maier E. Utilizing Statistical Dialogue Act Processing in Verbmobil [C]. In:Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics, Morristown, NJ, USA. Association for Computational Linguistics, 1995.

[8] Jurafsky D, Shriberg E, Biasca D. Switchboard SWBD-DAMSL Shallow-Discourse-Function Annotation Coders Manual [OL]. [2012-01-12].

[9] Godfrey J J, Holliman E C, McDaniel J. SWITCHBOARD: Telephone Speech Corpus for Research and Development [C]. In:Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, San Francisco, CA, USA.1992.

[10] Gerassimenko O, Hennoste T, Koit M,et al. Annotated Dialogue Corpus as a Language Resource: An Experience of Building the Estonian Dialogue Corpus [C]. In:Proceedings of the 1st Baltic Conference on Human Language Technologies,Riga, Latvia.2004.

[11] Fukada T, Koll D, Waibel A, et al. Probabilistic Dialogue Act Extraction for Concept Based Multilingual Translation Systems [C]. In:Proceedings of the 5th International Conference on Spoken Language Processing (ICSLP-1998),Sydney, Australia.1998.

[12] Sung C L, Day M Y, Yen H C, et al. A Template Alignment Algorithm for Question Classification [C]. In:Proceeding of IEEE International Conference on Intelligence and Security Informatics.2008.

[13] 文勖, 张宇, 刘挺, 等. 基于句法结构分析的中文问题分类 [J]. 中文信息学报 , 2006, 20(2): 33-39.(Wen Xu, Zhang Yu, Liu Ting, et al. Syntactic Structure Parsing Based Chinese Question Classification [J]. Journal of Chinese Information Processing, 2006, 20(2): 33-39.)

[14] Hevner A R, March S T, Park J, et al. Design Science in Information Systems Research [J]. MIS Quarterly, 2004, 28(1): 75-105.

[15] Walls J G, Widmeyer G R, El-Sawy O A. Building an Information System Design Theory for Vigilant EIS [J]. Information Systems Research, 1992, 3(1): 36-59.

[16] Traum D R. Speech Acts for Dialogue Agents[A]//Wooldridge M J, Rao A.Foundations and Theories of Rational Agents[M].Kluwer Academic Publishers,1999:173-206.

[17] Uebersax J S. Diversity of Decision-making Models and the Measurement of Interrater Agreement [J]. Psychological Bulletin, 1987, 101(1): 140.

[18] Cohen J. Weighted Kappa: Nominal Scale Agreement Provision for Scaled Disagreement or Partial Credit [J]. Psychological Bulletin, 1968, 70(4): 213.

[19] Shrout P E, Fleiss J L. Intraclass Correlations: Uses in Assessing Rater Reliability [J]. Psychological Bulletin, 1979, 86(2): 420.

[20] Lin L I. A Concordance Correlation Coefficient to Evaluate Reproducibility [J]. Biometrics, 1989, 45(1): 255.

[21] Everitt B S. Making Sense of Statistics in Psychology: A Second-level Course [M]. Oxford University Press, 1996.

[22] Kim J, Shaw E, Ravi S, et al. Scaffolding On-Line Discussions with Past Discussions: An Analysis and Pilot Study of PedaBot [C]. In:Proceedings of the 9th International Conference on Intelligent Tutoring Systems(ITS 2008),Montreal, Canada.Springer, 2008.

[23] Kim S N, Wang L, Baldwin T. Tagging and Linking Web Forum Posts [C]. In:Proceedings of the 14th Conference on Computational Natural Language Learning,Uppsala, Sweden.Association for Computational Linguistics Press, 2010.

[24] Joty S, Carenini G, Lin C Y. Unsupervised Modeling of Dialog Acts in Asynchronous Conversations [C]. In:Proceedings of the 22nd International Joint Conference on Artificial Intelligence, Barcelona, Catalonia, Spain.2011.

[25] Samuel K, Carberry S, Vijay-Shanker K. Dialogue Act Tagging with Transformation-based Learning [C]. In:Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics.1998.
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