Unsupervised Dialogue State Tracking for End-to-End Task-Oriented Dialogue with a Multi-Span Prediction Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11390-021-1064-y.pdf
Reference54 articles.
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3. Gao S L, Zhang Y C, Ou Z J, Yu Z. Paraphrase augmented task-oriented dialog generation. In Proc. the 58th Annual Meeting of the Association for Computational Linguistics, Jul. 2020, pp.639–649. https://doi.org/10.18653/v1/2020.acl-main.60.
4. Wen T H, Vandyke D, Mrkšić N, Gašić M, Rojas-Barahona L M, Su P H, Ultes S, Young S. A network-based end-to-end trainable task-oriented dialogue system. In Proc. the 15th Conference of the European Chapter of the Association for Computational Linguistics, Apr. 2017, pp.438–449.
5. Wen T H, Miao Y S, Blunsom P, Young S. Latent intention dialogue models. In Proc. the 34th International Conference on Machine Learning, Aug. 2017, pp.3732–3741.
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