KETOD: Knowledge-Enriched Task-Oriented Dialogue.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
User Memory Reasoning for Conversational Recommendation.
CoRR, 2020
User Memory Reasoning for Conversational Recommendation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models.
CoRR, 2019
Audio-visual TED corpus: enhancing the TED-LIUM corpus with facial information, contextual text and object recognition.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
Adversarial Learning of Task-Oriented Neural Dialog Models.
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, 2018
Bootstrapping a Neural Conversational Agent with Dialogue Self-Play, Crowdsourcing and On-Line Reinforcement Learning.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
End-to-End Learning of Task-Oriented Dialogs.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018
Online Incremental Learning for Speaker-Adaptive Language Models.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Multi-Domain Adversarial Learning for Slot Filling in Spoken Language Understanding.
CoRR, 2017
End-to-End Optimization of Task-Oriented Dialogue Model with Deep Reinforcement Learning.
CoRR, 2017
An End-to-End Trainable Neural Network Model with Belief Tracking for Task-Oriented Dialog.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017
Dialog context language modeling with recurrent neural networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Iterative policy learning in end-to-end trainable task-oriented neural dialog models.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017
Joint Online Spoken Language Understanding and Language Modeling With Recurrent Neural Networks.
Proceedings of the SIGDIAL 2016 Conference, 2016
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016