The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
The Second Dialog State Tracking Challenge
Open accessAbstract
A spoken dialog system, while communicating with a user, must keep track of what the user wants from the system at each step.This process, termed dialog state tracking, is essential for a successful dialog system as it directly informs the system's actions.The first Dialog State Tracking Challenge allowed for evaluation of different dialog state tracking techniques, providing common testbeds and evaluation suites.This paper presents a second challenge, which continues this tradition and introduces some additional features -a new domain, changing user goals and a richer dialog state.The challenge received 31 entries from 9 research groups.The results suggest that while large improvements on a competitive baseline are possible, trackers are still prone to degradation in mismatched conditions.An investigation into ensemble learning demonstrates the most accurate tracking can be achieved by combining multiple trackers.
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Wolpert, D. H. (1992) · Neural Networks · doi:10.1016/s0893-6080(05)80023-1 · Cited by 7,951
The Dialog State Tracking Challenge
Williams, J. D., Raux, A., Ramachandran, D., & Black, A. W. (2013) · Cited by 317
Self-citationLet's go public! taking a spoken dialog system to the real world
Raux, A., Langner, B., Bohus, D., Black, A. W., & Eskenazi, M. (2005) · Interspeech 2005 · doi:10.21437/interspeech.2005-399 · Cited by 226
Wang, Z., & Lemon, O. (2013) · doi:10.13140/2.1.1213.1522 · Cited by 149
Discriminative spoken language understanding using word confusion networks
Henderson, M., Gašić, M., Thomson, B., Tsiakoulis, P., Yu, K., & Young, S. J. (2012) · IEEE Spoken Language Technology Workshop (SLT) · doi:10.1109/slt.2012.6424218 · Cited by 123
Self-citationLee, S., & Eskénazi, M. (2013) · Cited by 54
Semantic parsing using word confusion networks with conditional random fields
Tür, G., Deoras, A., & Hakkani-Tür, D. Z. (2013) · Interspeech (USB) · doi:10.21437/interspeech.2013-580 · Cited by 43
Discriminative state tracking for spoken dialog systems
Metallinou, A., Bohus, D., & Williams, J. D. (2013) · Cited by 32
Self-citationEvaluating discourse understanding in spoken dialogue systems
Higashinaka, R., Miyazaki, N., Nakano, M., & Aikawa, K. (2004) · ACM Transactions on Speech and Language Processing · doi:10.1145/1035112.1035113 · Cited by 15
Cited by
MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling
Budzianowski, P., Wen, T.-H., Tseng, B.-H., Casanueva, I., Ultes, S., Ramadan, O., & Gašić, M. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d18-1547 · Cited by 1,028
Neural Belief Tracker: Data-Driven Dialogue State Tracking
Mrkšić, N., Ó Séaghdha, D., Wen, T.-H., Thomson, B., & Young, S. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p17-1163 · Cited by 459
Self-citationWhen large language models meet personalization: perspectives of challenges and opportunities
Chen, J., Liu, Z., Huang, X., Wu, C., Liu, Q., Jiang, G., Pu, Y., Lei, Y., Chen, X., Wang, X., et al. (2024) · World Wide Web · doi:10.1007/s11280-024-01276-1 · Cited by 367
Deal or No Deal? End-to-End Learning of Negotiation Dialogues
Lewis, M., Yarats, D., Dauphin, Y., Parikh, D., & Batra, D. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d17-1259 · Cited by 347
OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs
Moon, S., Shah, P., Kumar, A., & Subba, R. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/p19-1081 · Cited by 306
Metadata
- Authors
- Henderson, M., Thomson, B., & Williams, J. D.
- Venue
- Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)
- Published
- 2014
- Pages
- 263-272
- OpenAlex
- W2251058040
- Cited by
- 538
- References
- 9
- FWCI
- 18.78
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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