Lina Maria Rojas Barahona
Lina Maria Rojas Barahona
Orange Labs
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TitleCited byYear
A network-based end-to-end trainable task-oriented dialogue system
TH Wen, D Vandyke, N Mrksic, M Gasic, LM Rojas-Barahona, PH Su, ...
arXiv preprint arXiv:1604.04562, 2016
Counter-fitting word vectors to linguistic constraints
N Mrkšić, DO Séaghdha, B Thomson, M Gašić, L Rojas-Barahona, PH Su, ...
arXiv preprint arXiv:1603.00892, 2016
Multi-domain neural network language generation for spoken dialogue systems
TH Wen, M Gasic, N Mrksic, LM Rojas-Barahona, PH Su, D Vandyke, ...
arXiv preprint arXiv:1603.01232, 2016
On-line active reward learning for policy optimisation in spoken dialogue systems
PH Su, M Gasic, N Mrksic, L Rojas-Barahona, S Ultes, D Vandyke, ...
arXiv preprint arXiv:1605.07669, 2016
Continuously learning neural dialogue management
PH Su, M Gasic, N Mrksic, L Rojas-Barahona, S Ultes, D Vandyke, ...
arXiv preprint arXiv:1606.02689, 2016
Pydial: A multi-domain statistical dialogue system toolkit
S Ultes, LMR Barahona, PH Su, D Vandyke, D Kim, I Casanueva, ...
Proceedings of ACL 2017, System Demonstrations, 73-78, 2017
Deep learning for sentiment analysis
LM Rojas‐Barahona
Language and Linguistics Compass 10 (12), 701-719, 2016
Conditional generation and snapshot learning in neural dialogue systems
TH Wen, M Gasic, N Mrksic, LM Rojas-Barahona, PH Su, S Ultes, ...
arXiv preprint arXiv:1606.03352, 2016
Dialogue manager domain adaptation using Gaussian process reinforcement learning
M Gašić, N Mrkšić, LM Rojas-Barahona, PH Su, S Ultes, D Vandyke, ...
Computer Speech & Language 45, 552-569, 2017
Sub-domain modelling for dialogue management with hierarchical reinforcement learning
P Budzianowski, S Ultes, PH Su, N Mrkšić, TH Wen, I Casanueva, ...
arXiv preprint arXiv:1706.06210, 2017
On the effects of using word2vec representations in neural networks for dialogue act recognition
C Cerisara, P Kral, L Lenc
Computer Speech & Language 47, 175-193, 2018
Toward multi-domain language generation using recurrent neural networks
TH Wen, M Gašic, N Mrkšic, LM Rojas-Barahona, PH Su, D Vandyke, ...
NIPS Workshop on Machine Learning for Spoken Language Understanding and …, 2015
Exploiting sentence and context representations in deep neural models for spoken language understanding
LMR Barahona, M Gasic, N Mrkšić, PH Su, S Ultes, TH Wen, S Young
arXiv preprint arXiv:1610.04120, 2016
A benchmarking environment for reinforcement learning based task oriented dialogue management
I Casanueva, P Budzianowski, PH Su, N Mrkšić, TH Wen, S Ultes, ...
arXiv preprint arXiv:1711.11023, 2017
Leveraging study of robustness and portability of spoken language understanding systems across languages and domains: the PORTMEDIA corpora
F Lefevre, D Mostefa, L Besacier, Y Esteve, M Quignard, N Camelin, ...
Building and exploiting a corpus of dialog interactions between french speaking virtual and human agents
LMR Barahona, A Lorenzo, C Gardent
Feudal reinforcement learning for dialogue management in large domains
I Casanueva, P Budzianowski, PH Su, S Ultes, L Rojas-Barahona, ...
arXiv preprint arXiv:1803.03232, 2018
Domain-Independent User Satisfaction Reward Estimation for Dialogue Policy Learning.
S Ultes, P Budzianowski, I Casanueva, N Mrksic, LM Rojas-Barahona, ...
INTERSPEECH, 1721-1725, 2017
Adaptable dialog architecture and runtime engine (AdaRTE): a framework for rapid prototyping of health dialog systems
LM Rojas-Barahona, T Giorgino
international journal of medical informatics 78, S56-S68, 2009
An end-to-end evaluation of two situated dialog systems
LM Rojas-Barahona, A Lorenzo, C Gardent
Proceedings of the 13th Annual Meeting of the Special Interest Group on …, 2012
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