Bing Liu

Affiliations:
  • Facebook AI, Menlo Park, CA, USA
  • Carnegie Mellon University, Electrical and Computer Engineering, Pittsburgh, PA, USA


According to our database1, Bing Liu authored at least 19 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
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

2020
User Memory Reasoning for Conversational Recommendation.
CoRR, 2020

User Memory Reasoning for Conversational Recommendation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
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

2018
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 Interspeech 2018, 2018

Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
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 Interspeech 2017, 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

2016
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 Interspeech 2016, 2016


  Loading...