N. Mrksic

发表

Toward Multi-domain Language Generation using Recurrent Neural Networks

S. Young, Tsung-Hsien Wen, M. Gašić, 2015 .

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

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

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

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

Counter-fitting Word Vectors to Linguistic Constraints

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

A Repository of Conversational Datasets github.com/PolyAI-LDN/conversational-datasets

Georgios P. Spithourakis, N. Mrksic, Pei-hao Su, 2019 .

Kernel Structure Discovery for Gaussian Process Classification

N. Mrksic, 2014 .

Multi-agent learning in multi-domain spoken dialogue systems

Tsung-Hsien Wen, M. Gašić, N. Mrksic, 2015 .

Semi-supervised Learning Methods for Data Augmentation Original Aims of the Project Work Completed

N. Mrksic, 2013 .

Belief Tracking Interaction Quality Reward Estimation Semantic Decoding Speech Recognition Speech Synthesis Language Generation Environment

S. Young, Tsung-Hsien Wen, M. Gašić, 2017 .

Neural Belief Tracker: Data-Driven Dialogue State Tracking

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

Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

Anna Korhonen, Nikola Mrksic, Milica Gasic, 2017, TACL.

Dialogue manager domain adaptation using Gaussian process reinforcement learning

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

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

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

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

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

Multi-domain Dialog State Tracking using Recurrent Neural Networks

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

PyDial: A Multi-domain Statistical Dialogue System Toolkit

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

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

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

Conditional Generation and Snapshot Learning in Neural Dialogue Systems

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

Multilingual and Cross-Lingual Intent Detection from Spoken Data

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

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.

Fully Statistical Neural Belief Tracking pdf

Ivan Vulić, Nikola Mrkšić, N. Mrksic, 2018, ACL.

Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation pdf

Anna Korhonen, Nikola Mrksic, Ivan Vulic, 2017, EMNLP.

Training Neural Response Selection for Task-Oriented Dialogue Systems

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

A Repository of Conversational Datasets pdf

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

Research data supporting "Conditional Generation and Snapshot Learning in Neural Dialogue Systems"

S. Young, Tsung-Hsien Wen, N. Mrksic, 2016 .

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).

Deep Learning for Conversational AI

Iñigo Casanueva, Nikola Mrksic, Pei-hao Su, 2018, NAACL.

Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization

Goran Glavas, Anna Korhonen, Nikola Mrksic, 2018, EMNLP.

Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources pdf

Goran Glavas, Anna Korhonen, Nikola Mrksic, 2018, NAACL.

Specialising Word Vectors for Lexical Entailment

Ivan Vulić, Nikola Mrkšić, N. Mrksic, 2017, NAACL.

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

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

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

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

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

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

Data-driven language understanding for spoken dialogue systems

Nikola Mrkšić, N. Mrksic, 2018 .

Continuously Learning Neural Dialogue Management pdf

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

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

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

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.

Counter-fitting Word Vectors to Linguistic Constraints

Diarmuid Ó Séaghdha, S. Young, Tsung-Hsien Wen, 2016, NAACL.

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).

Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

Diarmuid Ó Séaghdha, S. Young, A. Korhonen, 2017, arXiv.org.

Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules pdf

Anna Korhonen, Nikola Mrksic, Steve J. Young, 2017, ACL.