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Pei-hao Su
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2020 – today
- 2021
- [c33]Ivan Vulic, Pei-Hao Su, Samuel Coope, Daniela Gerz, Pawel Budzianowski, Iñigo Casanueva, Nikola Mrksic, Tsung-Hsien Wen:
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models. EMNLP (1) 2021: 1151-1168 - [c32]Daniela Gerz, Pei-Hao Su, Razvan Kusztos, Avishek Mondal, Michal Lis, Eshan Singhal, Nikola Mrksic, Tsung-Hsien Wen, Ivan Vulic:
Multilingual and Cross-Lingual Intent Detection from Spoken Data. EMNLP (1) 2021: 7468-7475 - [i25]Daniela Gerz, Pei-Hao Su, Razvan Kusztos, Avishek Mondal, Michal Lis, Eshan Singhal, Nikola Mrksic, Tsung-Hsien Wen, Ivan Vulic:
Multilingual and Cross-Lingual Intent Detection from Spoken Data. CoRR abs/2104.08524 (2021) - [i24]Ivan Vulic, Pei-Hao Su, Sam Coope, Daniela Gerz, Pawel Budzianowski, Iñigo Casanueva, Nikola Mrksic, Tsung-Hsien Wen:
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models. CoRR abs/2109.10126 (2021) - 2020
- [c31]Matthew Henderson, Iñigo Casanueva, Nikola Mrksic, Pei-Hao Su, Tsung-Hsien Wen, Ivan Vulic:
ConveRT: Efficient and Accurate Conversational Representations from Transformers. EMNLP (Findings) 2020: 2161-2174
2010 – 2019
- 2019
- [c30]Matthew Henderson, Ivan Vulic, Daniela Gerz, Iñigo Casanueva, Pawel Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrksic, Pei-Hao Su:
Training Neural Response Selection for Task-Oriented Dialogue Systems. ACL (1) 2019: 5392-5404 - [c29]Matthew Henderson, Ivan Vulic, Iñigo Casanueva, Pawel Budzianowski, Daniela Gerz, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrksic, Pei-Hao Su:
PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking. EMNLP/IJCNLP (3) 2019: 181-186 - [c28]Tsung-Hsien Wen, Pei-Hao Su, Pawel Budzianowski, Iñigo Casanueva, Ivan Vulic:
Data Collection and End-to-End Learning for Conversational AI. EMNLP/IJCNLP (2) 2019 - [i23]Matthew Henderson, Pawel Budzianowski, Iñigo Casanueva, Sam Coope, Daniela Gerz, Girish Kumar, Nikola Mrksic, Georgios Spithourakis, Pei-Hao Su, Ivan Vulic, Tsung-Hsien Wen:
A Repository of Conversational Datasets. CoRR abs/1904.06472 (2019) - [i22]Matthew Henderson, Ivan Vulic, Daniela Gerz, Iñigo Casanueva, Pawel Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrksic, Pei-Hao Su:
Training Neural Response Selection for Task-Oriented Dialogue Systems. CoRR abs/1906.01543 (2019) - [i21]Matthew Henderson, Ivan Vulic, Iñigo Casanueva, Pawel Budzianowski, Daniela Gerz, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrksic, Pei-Hao Su:
PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking. CoRR abs/1909.01296 (2019) - [i20]Matthew Henderson, Iñigo Casanueva, Nikola Mrksic, Pei-Hao Su, Tsung-Hsien Wen, Ivan Vulic:
ConveRT: Efficient and Accurate Conversational Representations from Transformers. CoRR abs/1911.03688 (2019) - 2018
- [b1]Pei-Hao Su:
Reinforcement learning and reward estimation for dialogue policy optimisation. University of Cambridge, UK, 2018 - [j4]Pei-Hao Su, Milica Gasic, Steve J. Young:
Reward estimation for dialogue policy optimisation. Comput. Speech Lang. 51: 24-43 (2018) - [j3]Gellért Weisz, Pawel Budzianowski
, Pei-Hao Su
, Milica Gasic
:
Sample Efficient Deep Reinforcement Learning for Dialogue Systems With Large Action Spaces. IEEE ACM Trans. Audio Speech Lang. Process. 26(11): 2083-2097 (2018) - [c27]Pei-Hao Su, Nikola Mrksic, Iñigo Casanueva, Ivan Vulic:
Deep Learning for Conversational AI. NAACL-HLT (Tutorial Abstracts) 2018: 27-32 - [c26]Iñigo Casanueva, Pawel Budzianowski, Pei-Hao Su, Stefan Ultes, Lina Maria Rojas-Barahona, Bo-Hsiang Tseng, Milica Gasic:
Feudal Reinforcement Learning for Dialogue Management in Large Domains. NAACL-HLT (2) 2018: 714-719 - [i19]Gellért Weisz, Pawel Budzianowski, Pei-Hao Su, Milica Gasic:
Sample Efficient Deep Reinforcement Learning for Dialogue Systems with Large Action Spaces. CoRR abs/1802.03753 (2018) - [i18]Iñigo Casanueva, Pawel Budzianowski, Pei-Hao Su, Stefan Ultes, Lina Maria Rojas-Barahona, Bo-Hsiang Tseng, Milica Gasic:
Feudal Reinforcement Learning for Dialogue Management in Large Domains. CoRR abs/1803.03232 (2018) - 2017
- [j2]Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
Dialogue manager domain adaptation using Gaussian process reinforcement learning. Comput. Speech Lang. 45: 552-569 (2017) - [c25]Stefan Ultes, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Dongho Kim, Iñigo Casanueva, Pawel Budzianowski, Nikola Mrksic, Tsung-Hsien Wen, Milica Gasic, Steve J. Young:
PyDial: A Multi-domain Statistical Dialogue System Toolkit. ACL (System Demonstrations) 2017: 73-78 - [c24]Tsung-Hsien Wen, David Vandyke, Nikola Mrksic, Milica Gasic, Lina Maria Rojas-Barahona, Pei-Hao Su, Stefan Ultes, Steve J. Young:
A Network-based End-to-End Trainable Task-oriented Dialogue System. EACL (1) 2017: 438-449 - [c23]Stefan Ultes, Pawel Budzianowski, Iñigo Casanueva, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Tsung-Hsien Wen, Milica Gasic, Steve J. Young:
Domain-Independent User Satisfaction Reward Estimation for Dialogue Policy Learning. INTERSPEECH 2017: 1721-1725 - [c22]Stefan Ultes, Pawel Budzianowski, Iñigo Casanueva, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Tsung-Hsien Wen, Milica Gasic, Steve J. Young:
Reward-Balancing for Statistical Spoken Dialogue Systems using Multi-objective Reinforcement Learning. SIGDIAL Conference 2017: 65-70 - [c21]Pawel Budzianowski, Stefan Ultes, Pei-Hao Su, Nikola Mrksic, Tsung-Hsien Wen, Iñigo Casanueva, Lina Maria Rojas-Barahona, Milica Gasic:
Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning. SIGDIAL Conference 2017: 86-92 - [c20]Pei-Hao Su, Pawel Budzianowski, Stefan Ultes, Milica Gasic, Steve J. Young:
Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management. SIGDIAL Conference 2017: 147-157 - [i17]Pawel Budzianowski, Stefan Ultes, Pei-Hao Su, Nikola Mrksic, Tsung-Hsien Wen, Iñigo Casanueva, Lina Maria Rojas-Barahona, Milica Gasic:
Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning. CoRR abs/1706.06210 (2017) - [i16]Pei-Hao Su, Pawel Budzianowski, Stefan Ultes, Milica Gasic, Steve J. Young:
Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management. CoRR abs/1707.00130 (2017) - [i15]Stefan Ultes, Pawel Budzianowski, Iñigo Casanueva, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Tsung-Hsien Wen, Milica Gasic, Steve J. Young:
Reward-Balancing for Statistical Spoken Dialogue Systems using Multi-objective Reinforcement Learning. CoRR abs/1707.06299 (2017) - [i14]Iñigo Casanueva, Pawel Budzianowski, Pei-Hao Su, Nikola Mrksic, Tsung-Hsien Wen, Stefan Ultes, Lina Maria Rojas-Barahona, Steve J. Young, Milica Gasic:
A Benchmarking Environment for Reinforcement Learning Based Task Oriented Dialogue Management. CoRR abs/1711.11023 (2017) - 2016
- [c19]Pei-Hao Su, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems. ACL (1) 2016 - [c18]Lina Maria Rojas-Barahona, Milica Gasic, Nikola Mrksic, Pei-Hao Su, Stefan Ultes, Tsung-Hsien Wen, Steve J. Young:
Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding. COLING 2016: 258-267 - [c17]Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, Steve J. Young:
Conditional Generation and Snapshot Learning in Neural Dialogue Systems. EMNLP 2016: 2153-2162 - [c16]Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Steve J. Young:
Multi-domain Neural Network Language Generation for Spoken Dialogue Systems. HLT-NAACL 2016: 120-129 - [c15]Nikola Mrksic, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
Counter-fitting Word Vectors to Linguistic Constraints. HLT-NAACL 2016: 142-148 - [i13]Nikola Mrksic, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
Counter-fitting Word Vectors to Linguistic Constraints. CoRR abs/1603.00892 (2016) - [i12]Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-hao Su, David Vandyke, Steve J. Young:
Multi-domain Neural Network Language Generation for Spoken Dialogue Systems. CoRR abs/1603.01232 (2016) - [i11]Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, Steve J. Young:
A Network-based End-to-End Trainable Task-oriented Dialogue System. CoRR abs/1604.04562 (2016) - [i10]Pei-Hao Su, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems. CoRR abs/1605.07669 (2016) - [i9]Pei-Hao Su, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
Continuously Learning Neural Dialogue Management. CoRR abs/1606.02689 (2016) - [i8]Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, Steve J. Young:
Conditional Generation and Snapshot Learning in Neural Dialogue Systems. CoRR abs/1606.03352 (2016) - [i7]Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
Dialogue manager domain adaptation using Gaussian process reinforcement learning. CoRR abs/1609.02846 (2016) - [i6]Lina Maria Rojas-Barahona, Milica Gasic, Nikola Mrksic, Pei-Hao Su, Stefan Ultes, Tsung-Hsien Wen, Steve J. Young:
Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding. CoRR abs/1610.04120 (2016) - 2015
- [j1]Pei-hao Su, Chuan-Hsun Wu, Lin-Shan Lee:
A Recursive Dialogue Game for Personalized Computer-Aided Pronunciation Training. IEEE ACM Trans. Audio Speech Lang. Process. 23(1): 127-141 (2015) - [c14]Nikola Mrksic, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Pei-hao Su, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
Multi-domain Dialog State Tracking using Recurrent Neural Networks. ACL (2) 2015: 794-799 - [c13]David Vandyke, Pei-hao Su, Milica Gasic, Nikola Mrksic, Tsung-Hsien Wen, Steve J. Young:
Multi-domain dialogue success classifiers for policy training. ASRU 2015: 763-770 - [c12]Milica Gasic, Nikola Mrksic, Pei-hao Su, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
Policy committee for adaptation in multi-domain spoken dialogue systems. ASRU 2015: 806-812 - [c11]Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Pei-hao Su, David Vandyke, Steve J. Young:
Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems. EMNLP 2015: 1711-1721 - [c10]Pei-hao Su, David Vandyke, Milica Gasic, Dongho Kim, Nikola Mrksic, Tsung-Hsien Wen, Steve J. Young:
Learning from real users: rating dialogue success with neural networks for reinforcement learning in spoken dialogue systems. INTERSPEECH 2015: 2007-2011 - [c9]Tsung-Hsien Wen, Milica Gasic, Dongho Kim, Nikola Mrksic, Pei-Hao Su, David Vandyke, Steve J. Young:
Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking. SIGDIAL Conference 2015: 275-284 - [c8]Lu Chen, Pei-Hao Su, Milica Gasic:
Hyper-parameter Optimisation of Gaussian Process Reinforcement Learning for Statistical Dialogue Management. SIGDIAL Conference 2015: 407-411 - [c7]Zhuoran Wang, Tsung-Hsien Wen, Pei-Hao Su, Yannis Stylianou:
Learning Domain-Independent Dialogue Policies via Ontology Parameterisation. SIGDIAL Conference 2015: 412-416 - [c6]Pei-Hao Su, David Vandyke, Milica Gasic, Nikola Mrksic, Tsung-Hsien Wen, Steve J. Young:
Reward Shaping with Recurrent Neural Networks for Speeding up On-Line Policy Learning in Spoken Dialogue Systems. SIGDIAL Conference 2015: 417-421 - [i5]Nikola Mrksic, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Pei-hao Su, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
Multi-domain Dialog State Tracking using Recurrent Neural Networks. CoRR abs/1506.07190 (2015) - [i4]Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Pei-hao Su, David Vandyke, Steve J. Young:
Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems. CoRR abs/1508.01745 (2015) - [i3]Tsung-Hsien Wen, Milica Gasic, Dongho Kim, Nikola Mrksic, Pei-hao Su, David Vandyke, Steve J. Young:
Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking. CoRR abs/1508.01755 (2015) - [i2]Pei-hao Su, David Vandyke, Milica Gasic, Dongho Kim, Nikola Mrksic, Tsung-Hsien Wen, Steve J. Young:
Learning from Real Users: Rating Dialogue Success with Neural Networks for Reinforcement Learning in Spoken Dialogue Systems. CoRR abs/1508.03386 (2015) - [i1]Pei-hao Su, David Vandyke, Milica Gasic, Nikola Mrksic, Tsung-Hsien Wen, Steve J. Young:
Reward Shaping with Recurrent Neural Networks for Speeding up On-Line Policy Learning in Spoken Dialogue Systems. CoRR abs/1508.03391 (2015) - 2013
- [c5]Pei-hao Su, Yow-Bang Wang
, Tien-han Yu, Lin-Shan Lee:
A dialogue game framework with personalized training using reinforcement learning for computer-assisted language learning. ICASSP 2013: 8213-8217 - [c4]Tsung-Hsien Wen, Hung-yi Lee
, Pei-hao Su, Lin-Shan Lee:
Interactive spoken content retrieval by extended query model and continuous state space Markov Decision Process. ICASSP 2013: 8510-8514 - [c3]Pei-hao Su, Yow-Bang Wang, Tsung-Hsien Wen, Tien-han Yu, Lin-Shan Lee:
A recursive dialogue game framework with optimal Policy offering personalized computer-assisted language learning. INTERSPEECH 2013: 490-494 - [c2]Pei-hao Su, Tien-han Yu, Ya-Yunn Su, Lin-Shan Lee:
A cloud-based personalized recursive dialogue game system for computer-assisted language learning. SLaTE 2013: 37-42 - [c1]Pei-hao Su, Tien-han Yu, Ya-Yunn Su, Lin-Shan Lee:
NTU Chinese 2.0: a personalized recursive dialogue game for computer-assisted learning of Mandarin Chinese. SLaTE 2013: 104
Coauthor Index
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