Bo-Hsiang Tseng

Affiliations:
  • University of Cambridge, UK


According to our database1, Bo-Hsiang Tseng authored at least 27 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Can Large Language Models Understand Context?
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
MARRS: Multimodal Reference Resolution System.
CoRR, 2023

5IDER: Unified Query Rewriting for Steering, Intent Carryover, Disfluencies, Entity Carryover and Repair.
CoRR, 2023

Grounding Description-Driven Dialogue State Trackers with Knowledge-Seeking Turns.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2021
CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Transferable Dialogue Systems and User Simulators.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Improving Sample-Efficiency in Reinforcement Learning for Dialogue Systems by Using Trainable-Action-Mask.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Actor-Double-Critic: Incorporating Model-Based Critic for Task-Oriented Dialogue Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

A Generative Model for Joint Natural Language Understanding and Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Machine Comprehension of Spoken Content: TOEFL Listening Test and Spoken SQuAD.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Tree-Structured Semantic Encoder with Knowledge Sharing for Domain Adaptation in Natural Language Generation.
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Nearly Zero-Shot Learning for Semantic Decoding in Spoken Dialogue Systems.
CoRR, 2018

Addressing Objects and Their Relations: The Conversational Entity Dialogue Model.
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, 2018

Variational Cross-domain Natural Language Generation for Spoken Dialogue Systems.
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, 2018

Feudal Dialogue Management with Jointly Learned Feature Extractors.
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, 2018

Feudal Reinforcement Learning for Dialogue Management in Large Domains.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural Therapy.
Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, 2018

2017
Personalizing Recurrent-Neural-Network-Based Language Model by Social Network.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Recurrent Neural Network based language modeling with controllable external Memory.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Towards Machine Comprehension of Spoken Content: Initial TOEFL Listening Comprehension Test by Machine.
Proceedings of the Interspeech 2016, 2016

2015
Personalizing a Universal Recurrent Neural Network Language Model with User Characteristic Features by Crowdsouring over Social Networks.
CoRR, 2015

Personalizing universal recurrent neural network language model with user characteristic features by social network crowdsourcing.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015


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