Shang-Yu Su

Orcid: 0000-0003-4313-6066

According to our database1, Shang-Yu Su authored at least 22 papers between 2017 and 2022.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2022
BARCOR: Towards A Unified Framework for Conversational Recommendation Systems.
CoRR, 2022

TREND: Trigger-Enhanced Relation-Extraction Network for Dialogues.
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

2020
Knowledge-Grounded Response Generation with Deep Attentional Latent-Variable Model.
Comput. Speech Lang., 2020

RAP-Net: Recurrent Attention Pooling Networks for Dialogue Response Selection.
Comput. Speech Lang., 2020

Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer.
Comput. Speech Lang., 2020

Dual Inference for Improving Language Understanding and Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Lifelong Language Knowledge Distillation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Towards Unsupervised Language Understanding and Generation by Joint Dual Learning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling.
CoRR, 2019

Bridging Dialogue Generation and Facial Expression Synthesis.
CoRR, 2019

Modeling Melodic Feature Dependency with Modularized Variational Auto-encoder.
Proceedings of the IEEE International Conference on Acoustics, 2019

Dynamically Context-sensitive Time-decay Attention for Dialogue Modeling.
Proceedings of the IEEE International Conference on Acoustics, 2019

Compound Variational Auto-encoder.
Proceedings of the IEEE International Conference on Acoustics, 2019

Dual Supervised Learning for Natural Language Understanding and Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Understanding of Medical Randomized Controlled Trials by Conclusion Generation.
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019

2018
Learning Context-Sensitive Time-Decay Attention for Role-Based Dialogue Modeling.
CoRR, 2018

Investigating Linguistic Pattern Ordering In Hierarchical Natural Language Generation.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

How Time Matters: Learning Time-Decay Attention for Contextual Spoken Language Understanding in Dialogues.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Natural Language Generation by Hierarchical Decoding with Linguistic Patterns.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Dynamic time-aware attention to speaker roles and contexts for spoken language understanding.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017


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