Tsung-Hsien Wen

发表

Training Neural Response Selection for Task-Oriented Dialogue Systems

Matthew Henderson, Ivan Vulic, Daniela Gerz, 2019, ACL.

Personalized language modeling by crowd sourcing with social network data for voice access of cloud applications

Lin-Shan Lee, Hung-yi Lee, Tsung-Hsien Wen, 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).

On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems pdf

David Vandyke, Stefan Ultes, Tsung-Hsien Wen, 2016, ACL.

Comparison of microaggregation approaches on anonymized data quality

Pei-Chann Chang, Tsung-Hsien Wen, Jun-Lin Lin, 2010, Expert Syst. Appl..

Recurrent neural network language generation for spoken dialogue systems

Steve Young, Tsung-Hsien Wen, S. Young, 2020, Comput. Speech Lang..

Recurrent neural network based language model personalization by social network crowdsourcing

Yu Tsao, Lin-Shan Lee, Hung-yi Lee, 2013, INTERSPEECH.

MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling

Stefan Ultes, Iñigo Casanueva, Pawel Budzianowski, 2018, EMNLP.

A recursive dialogue game framework with optimal Policy offering personalized computer-assisted language learning

Lin-Shan Lee, Tsung-Hsien Wen, Pei-hao Su, 2013, INTERSPEECH.

Personalizing Recurrent-Neural-Network-Based Language Model by Social Network

Yu Tsao, Hung-yi Lee, Tsung-Hsien Wen, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning pdf

Stefan Ultes, Iñigo Casanueva, Pawel Budzianowski, 2017, SIGDIAL Conference.

Research data supporting "On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems"

David Vandyke, Steve Young, Stefan Ultes, 2016 .

Counter-fitting Word Vectors to Linguistic Constraints

David Vandyke, Tsung-Hsien Wen, Nikola Mrksic, 2016, NAACL.

Multi-domain Dialog State Tracking using Recurrent Neural Networks

David Vandyke, Tsung-Hsien Wen, Nikola Mrksic, 2015, ACL.

Interactive spoken content retrieval by extended query model and continuous state space Markov Decision Process

Lin-Shan Lee, Hung-yi Lee, Tsung-Hsien Wen, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Network-based End-to-End Trainable Task-oriented Dialogue System

David Vandyke, Stefan Ultes, Tsung-Hsien Wen, 2016, EACL.

Multi-domain Neural Network Language Generation for Spoken Dialogue Systems pdf

David Vandyke, Tsung-Hsien Wen, Nikola Mrksic, 2016, NAACL.

Domain-Independent User Satisfaction Reward Estimation for Dialogue Policy Learning

Stefan Ultes, Iñigo Casanueva, Pawel Budzianowski, 2017, INTERSPEECH.

Research data supporting "Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems"

David Vandyke, Steve Young, Tsung-Hsien Wen, 2015 .

Dialogue manager domain adaptation using Gaussian process reinforcement learning

David Vandyke, Stefan Ultes, Tsung-Hsien Wen, 2016, Comput. Speech Lang..

Latent Topic Conversational Models pdf

Tsung-Hsien Wen, Minh-Thang Luong, Minh-Thang Luong, 2018, ArXiv.

Conditional Generation and Snapshot Learning in Neural Dialogue Systems

David Vandyke, Stefan Ultes, Tsung-Hsien Wen, 2016, EMNLP.

Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems

David Vandyke, Tsung-Hsien Wen, Nikola Mrksic, 2015, EMNLP.

Reward-Balancing for Statistical Spoken Dialogue Systems using Multi-objective Reinforcement Learning

Stefan Ultes, Iñigo Casanueva, Pawel Budzianowski, 2017, SIGDIAL Conference.

Continuously Learning Neural Dialogue Management pdf

David Vandyke, Stefan Ultes, Tsung-Hsien Wen, 2016, ArXiv.

Learning from real users: rating dialogue success with neural networks for reinforcement learning in spoken dialogue systems pdf

David Vandyke, Dongho Kim, Tsung-Hsien Wen, 2015, INTERSPEECH.

Density-based microaggregation for statistical disclosure control

Pei-Chann Chang, Tsung-Hsien Wen, Jun-Lin Lin, 2010, Expert Syst. Appl..

Improved semantic retrieval of spoken content by language models enhanced with acoustic similarity graph

Lin-Shan Lee, Hung-yi Lee, Tsung-Hsien Wen, 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).

Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding

Stefan Ultes, Tsung-Hsien Wen, Nikola Mrksic, 2016, COLING.

Learning Domain-Independent Dialogue Policies via Ontology Parameterisation

Yannis Stylianou, Tsung-Hsien Wen, Pei-hao Su, 2015, SIGDIAL Conference.

Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking pdf

David Vandyke, Dongho Kim, Tsung-Hsien Wen, 2015, SIGDIAL Conference.

PyDial: A Multi-domain Statistical Dialogue System Toolkit

David Vandyke, Stefan Ultes, Iñigo Casanueva, 2017, ACL.

Recurrent neural network language generation for dialogue systems

Tsung-Hsien Wen, 2018 .

A Benchmarking Environment for Reinforcement Learning Based Task Oriented Dialogue Management pdf

Stefan Ultes, Iñigo Casanueva, Pawel Budzianowski, 2017, ArXiv.

Data Collection and End-to-End Learning for Conversational AI

Iñigo Casanueva, Pawel Budzianowski, Tsung-Hsien Wen, 2019, EMNLP/IJCNLP.

Reward Shaping with Recurrent Neural Networks for Speeding up On-Line Policy Learning in Spoken Dialogue Systems

David Vandyke, Tsung-Hsien Wen, Nikola Mrksic, 2015, SIGDIAL Conference.

A Repository of Conversational Datasets pdf

Matthew Henderson, Daniela Gerz, Iñigo Casanueva, 2019, Proceedings of the First Workshop on NLP for Conversational AI.

PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking

Matthew Henderson, Ivan Vulic, Daniela Gerz, 2019, EMNLP.

Policy committee for adaptation in multi-domain spoken dialogue systems

David Vandyke, Tsung-Hsien Wen, Nikola Mrksic, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Interactive Spoken Content Retrieval with Different Types of Actions Optimized By a Markov Decision Process

Lin-Shan Lee, Hung-yi Lee, Tsung-Hsien Wen, 2012, INTERSPEECH.

Neural Belief Tracker: Data-Driven Dialogue State Tracking

Tsung-Hsien Wen, Nikola Mrksic, Steve J. Young, 2016, ACL.

Interactive Spoken Content Retrieval by Deep Reinforcement Learning

Tsung-Hsien Wen, Yen-Chen Wu, Hung-Yi Lee, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Latent Intention Dialogue Models

Tsung-Hsien Wen, Phil Blunsom, Steve J. Young, 2017, ICML.

Multi-domain dialogue success classifiers for policy training

David Vandyke, Tsung-Hsien Wen, Nikola Mrksic, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Multilingual and Cross-Lingual Intent Detection from Spoken Data

Tsung-Hsien Wen, Nikola Mrksic, Pei-hao Su, 2021, EMNLP.

ConvFiT: Conversational Fine-Tuning of Pretrained Language Models pdf

Pawel Budzianowski, Sam Coope, Tsung-Hsien Wen, 2021, EMNLP.

Recurrent Neural Network Based Personalized Language Modeling by Social Network Crowdsourcing

Yu Tsao, Lin-Shan Lee, Tsung-Hsien Wen, 2013 .