Tsung-Hsien Wen | DeepAI

AI Chat

Featured Co-authors

Ivan Vulić
87 publications
Phil Blunsom
63 publications
Milica Gašić
49 publications
Nikola Mrkšić
30 publications
Stefan Ultes
28 publications
Minh-Thang Luong
26 publications
Pei-Hao Su
25 publications
Paweł Budzianowski
24 publications
Steve Young
24 publications
Yishu Miao
18 publications
Iñigo Casanueva
18 publications

∙ 09/21/2021

ConvFiT: Conversational Fine-Tuning of Pretrained Language Models

Transformer-based language models (LMs) pretrained on large text collect...

5 Ivan Vulić, et al. ∙

∙ 04/17/2021

Multilingual and Cross-Lingual Intent Detection from Spoken Data

We present a systematic study on multilingual and cross-lingual intent d...

13 Daniela Gerz, et al. ∙

∙ 09/03/2019

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

We present PolyResponse, a conversational search engine that supports ta...

0 Matthew Henderson, et al. ∙

∙ 06/04/2019

Training Neural Response Selection for Task-Oriented Dialogue Systems

Despite their popularity in the chatbot literature, retrieval-based mode...

0 Matthew Henderson, et al. ∙

∙ 04/13/2019

A Repository of Conversational Datasets

Progress in Machine Learning is often driven by the availability of larg...

0 Matthew Henderson, et al. ∙

∙ 09/29/2018

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

Even though machine learning has become the major scene in dialogue rese...

0 Paweł Budzianowski, et al. ∙

∙ 09/19/2018

Latent Topic Conversational Models

Latent variable models have been a preferred choice in conversational mo...

0 Tsung-Hsien Wen, et al. ∙

∙ 11/29/2017

A Benchmarking Environment for Reinforcement Learning Based Task Oriented Dialogue Management

Dialogue assistants are rapidly becoming an indispensable daily aid. To ...

0 Iñigo Casanueva, et al. ∙

∙ 07/19/2017

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

Reinforcement learning is widely used for dialogue policy optimization w...

0 Stefan Ultes, et al. ∙

∙ 06/19/2017

Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning

Human conversation is inherently complex, often spanning many different ...

0 Paweł Budzianowski, et al. ∙

∙ 05/29/2017

Latent Intention Dialogue Models

Developing a dialogue agent that is capable of making autonomous decisio...

0 Tsung-Hsien Wen, et al. ∙

∙ 10/13/2016

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

This paper presents a deep learning architecture for the semantic decode...

0 Lina M. Rojas Barahona, et al. ∙

∙ 09/09/2016

Dialogue manager domain adaptation using Gaussian process reinforcement learning

Spoken dialogue systems allow humans to interact with machines using nat...

0 Milica Gašić, et al. ∙

∙ 06/12/2016

Neural Belief Tracker: Data-Driven Dialogue State Tracking

One of the core components of modern spoken dialogue systems is the beli...

0 Nikola Mrkšić, et al. ∙

∙ 06/10/2016

Conditional Generation and Snapshot Learning in Neural Dialogue Systems

Recently a variety of LSTM-based conditional language models (LM) have b...

0 Tsung-Hsien Wen, et al. ∙

∙ 06/08/2016

Continuously Learning Neural Dialogue Management

We describe a two-step approach for dialogue management in task-oriented...

0 Pei-Hao Su, et al. ∙

∙ 05/24/2016

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

The ability to compute an accurate reward function is essential for opti...

0 Pei-Hao Su, et al. ∙

∙ 04/15/2016

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

Teaching machines to accomplish tasks by conversing naturally with human...

0 Tsung-Hsien Wen, et al. ∙

∙ 03/03/2016

Multi-domain Neural Network Language Generation for Spoken Dialogue Systems

Moving from limited-domain natural language generation (NLG) to open dom...

0 Tsung-Hsien Wen, et al. ∙

∙ 03/02/2016

Counter-fitting Word Vectors to Linguistic Constraints

In this work, we present a novel counter-fitting method which injects an...

0 Nikola Mrkšić, et al. ∙

∙ 08/14/2015

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

Statistical spoken dialogue systems have the attractive property of bein...

0 Pei-Hao Su, et al. ∙

∙ 08/13/2015

Learning from Real Users: Rating Dialogue Success with Neural Networks for Reinforcement Learning in Spoken Dialogue Systems

To train a statistical spoken dialogue system (SDS) it is essential that...

0 Pei-Hao Su, et al. ∙

∙ 08/07/2015

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

The natural language generation (NLG) component of a spoken dialogue sys...

0 Tsung-Hsien Wen, et al. ∙

∙ 08/07/2015

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

Natural language generation (NLG) is a critical component of spoken dial...

0 Tsung-Hsien Wen, et al. ∙

∙ 06/23/2015

Multi-domain Dialog State Tracking using Recurrent Neural Networks

Dialog state tracking is a key component of many modern dialog systems, ...

0 Nikola Mrkšić, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world