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Task specific continuous word representations for mono and multi-lingual spoken language understanding.

, , and . ICASSP, page 3246-3250. IEEE, (2014)

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Efficient Large-Scale Domain Classification with Personalized Attention., , , and . CoRR, (2018)Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents., , , and . CoRR, (2020)Task specific continuous word representations for mono and multi-lingual spoken language understanding., , and . ICASSP, page 3246-3250. IEEE, (2014)Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding., , and . NAACL-HLT (2), page 9-15. Association for Computational Linguistics, (2019)Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents., , , and . NAACL-HLT, page 4053-4064. Association for Computational Linguistics, (2021)Frustratingly Easy Neural Domain Adaptation., , and . COLING, page 387-396. ACL, (2016)Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources., , , and . EMNLP, page 2832-2838. Association for Computational Linguistics, (2017)A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems., , , , , , , and . EMNLP (1), page 6054-6063. Association for Computational Linguistics, (2021)An overview of end-to-end language understanding and dialog management for personal digital assistants., , , , , , , , , and 8 other author(s). SLT, page 391-397. IEEE, (2016)Multi-Player Virtual Ping-Pong Game., , , , and . ICAT, page 269-273. IEEE Computer Society, (2007)