Special Topic: Multiparty Dialogue
Most dialogue systems act as a single entity engaged in dialogue with a single user. This vastly simplifies issues like turn-taking, or addressee recognition. In the more general case, there can be more than two participants, who could be either human or system.Required Readings
- David
Traum
Issues in
multi-party dialogues, in Advances in Agent Communication Ed.
F. Dignum, Springer-Verlag LNAI 2922 pp 201-211, 2004.
- Bohus, D, Horvitz, E. (2009) Models for Multiparty Engagement in Open-World Dialog, in Proceedings of SIGdial '09, London, UK SIGdial'09 best paper award
- Nicholas Asher, Julie Hunter, Mathieu Morey, Farah Benamara, Stergos Afantenos. Discourse Structure and Dialogue Acts in Multiparty Dialogue: the STAC Corpus. 10th International Conference on Language Resources and Evaluation (LREC 2016), May 2016, Portoroz, Slovenia. pp.2721-2727.
- Ananya Ganesh, Martha Palmer, and Katharina Kann. 2023. A Survey of Challenges and Methods in the Computational Modeling of Multi-Party Dialog. In Proceedings of the 5th Workshop on NLP for Conversational AI (NLP4ConvAI 2023), pages 140–154, Toronto, Canada. Association for Computational Linguistics.
Other Readings
- Novick, D., Walton, L., and Ward, K. (1996). Contribution graphs in multiparty conversations, Proceedings of the International Symposium on Spoken Dialogue (ISSD-96), Philadelphia, PA, October, 1996, 53-56.
- Ishizaki, M. and T. Kato (1998) Exploring the Characteristics of Multi-Party Dialogue, In Proc. of the 17th COLING-ACL'98, pp.583-589
- Carletta, J., Anderson, A. H., & Garrod, S. (2002). Seeing
eye to eye: an account of grounding and understanding in work groups.
Cognitive Studies: Bulletin of the Japanese Cognitive Science Society,
9(1), 1-20, March. Invited paper for the special issue entitled
"Towards Sciences of Linguistic Communication". ISSN 13417924
- Padilha, E. and Carletta, J. C. A Simulation of Small Group Discussion. Semdial-2002 EDILOG, Edinburgh, 2002.
- Michael Kearns, Charles Isbell,
Satinder Singh, Diane Litman, and Jessica Howe.
CobotDS:
A Spoken Dialogue System for Chat. AAAI 2002.
- Natasa Jovanovic and Rieks op den Akker Towards automatic addressee identification in multi-party dialogues Sigdial 2004
- Jonathan Ginzburg and Raquel Fernandez. 2005. Scaling up from Dialogue to Multilogue: Some Principles and Benchmarks. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL2005), pages 231-238, Ann Arbor, Michigan. Association for Computational Linguistics.
- Reinsch Jr, N. Lamar, Jeanine Warisse Turner, And Catherine H. Tinsley. Multicommunicating: A Practice Whose Time Has Come?. Academy of Management Review 33.2 (2008): 391-403.
- Rieks op den Akker and David Traum, A comparison of addressee detection methods for multiparty conversations, in proceedings of Diaholmia 2009: the 13th workshop on the semantics and pragmatics of dialogue. Stockholm, Sweden, June 2009.
- Kohji Dohsaka, Ryota Asai, Ryuichiro Higashinaka, Yasuhiro Minami, Eisaku Maeda Effects of Conversational Agents on Human Communication in Thought-Evoking Multi-Party Dialogues Proceedings of SIGDIAL 2009: the 10th Annual Meeting of the Special Interest Group in Discourse and Dialogue, pages 217–224, Queen Mary University of London, September 2009.
- Micha Elsner, Eugene Charniak, Disentangling Chat. Computational Linguistics 2010 36 (3): 389-409.
- David Traum, Cassidy Henry, Stephanie Lukin, Ron Artstein, Felix Gervits, Kimberly Pollard, Claire Bonial, Su Lei, Clare Voss, Matthew Marge, Cory Hayes and Susan Hill Dialogue Structure Annotation for Multi-Floor Interaction in Proceedings of the LREC 2018 conference.
- Mahajan, Khyati, and Samira Shaikh. On the need for thoughtful data collection for multi-party dialogue: A survey of available corpora and collection methods. Proceedings of the 22nd annual meeting of the special interest group on discourse and dialogue. 2021.
- Jia-Chen Gu, Chongyang Tao, and Zhen-Hua Ling. Who says what to whom: A survey of multi- party conversations. In Lud De Raedt, editor, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI-22, pages 5486–5493. International Joint Confer- ences on Artificial Intelligence Organization, 7 2022b. doi: 10.24963/ijcai.2022/768. URL https://doi.org/10.24963/ijcai.2022/768. Survey Track.