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Update nowOur team of dialogue and machine learning scientists are among the world’s leading experts in conversational AI, responsible for major breakthroughs embedded in popular voice assistants used by millions of people today.
EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification | Findings of NAACL 2022 | Georgios P. Spithourakis, Ivan Vulić, Michał Lis, Iñigo Casanueva, and Paweł Budzianowski
NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural Language Understanding in Task-Oriented Dialogue | Findings of NAACL 2022 | Iñigo Casanueva, Ivan Vulić, Georgios Spithourakis, and Paweł Budzianowski
Improved and Efficient Conversational Slot Labeling through Question Answering | Gabor Fuisz, Ivan Vulić, Samuel Gibbons, Inigo Casanueva, Paweł Budzianowski
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems | Journal of Artificial Intelligence Research 2022 | Evgeniia Razumovskaia, Goran Glavaš, Olga Majewska, Anna Korhonen, and Ivan Vulić
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models | Proceedings of EMNLP 2021 | Ivan Vulić, Pei-Hao Su, Sam Coope, Daniela Gerz, Paweł Budzianowski, Iñigo Casanueva, Nikola Mrkšić, and Tsung-Hsien Wen
Multilingual and Cross-Lingual Intent Detection from Spoken Data | Proceedings of EMNLP 2021 | Daniela Gerz, Pei-Hao Su, Razvan Kusztos, Avishek Mondal, Michał Lis, Eshan Singhal, Nikola Mrkšić, Tsung-Hsien Wen, and Ivan Vulić
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models | Proceedings of ACL 2021 | Soumya Barikeri, Anne Lauscher, Ivan Vulić, and Goran Glavaš
ConVEx: Data-Efficient and Few-Shot Slot Labeling | Proceedings of NAACL-HLT 2021 | Matthew Henderson and Ivan Vulić
ConveRT: Efficient and accurate conversational representations from transformers | Findings of EMNLP 2020 | Matthew Henderson, Inigo Casanueva, Nikola Mrkšić, Pei-Hao Su, Tsung-Hsein Wen, Ivan Vulić
Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations | In Proceedings of ACL, pages 107-121 | Sam Coope, Tyler Farghly, Daniela Gerz, Ivan Vulić, and Matthew Henderson. 2020 | Data available on Github
Efficient Intent Detection with Dual Sentence Encoders | In Proceedings of the Workshop on NLP for Conversational AI, pages 38-45 | Iñigo Casanueva, Tadas Temčinas, Daniela Gerz, Matthew Henderson, and Ivan Vulić. 2020 | Data and code available on Github
PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking | In Proceedings of EMNLP-IJCNLP: System Demonstrations, pages 181-186 | Matthew Henderson, Ivan Vulić, Iñigo Casanueva, Paweł Budzianowski, Daniela Gerz, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić, and Pei-Hao Su. 2019
Hello, It’s GPT-2 – How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems | In Proceedings of the 3rd Workshop on Neural Generation and Translation ([email protected] 2019), pages 15-22 | Paweł Budzianowski and Ivan Vulić. 2019
JW300: A wide-coverage parallel corpus for low-resource languages | In Proceedings of ACL, pages 3204-3210 | Željko Agić and Ivan Vulić. 2019 | Data available at: http://opus.nlpl.eu/JW300.php
Training neural response selection for task-oriented dialogue systems | In Proceedings of ACL, pages 5392-5404. | Matthew Henderson, Ivan Vulić, Daniela Gerz, Iñigo Casanueva, Paweł Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić, and Pei-Hao Su. 2019 | This model has been superseded by the more powerful pretraining method: ConveRT
A repository of conversational datasets | In Proceedings of the Workshop on NLP for Conversational AI, pages 1-10 | Matthew Henderson, Paweł Budzianowski, Iñigo Casanueva, Sam Coope, Daniela Gerz, Girish Kumar, Nikola Mrkšić, Georgios Spithourakis, Pei-Hao Su, Ivan Vulić, and Tsung-Hsien Wen. 2019 | Data available on Github
Fully statistical neural belief tracking | In Proceedings of ACL, pages 108-113 | Nikola Mrkšić and Ivan Vulić. 2018
Reward estimation for dialogue policy optimisation | In Computer Speech and Language | Su et al. 2018
Feudal Reinforcement Learning for Dialogue Management in Large Domains | NAACL 2018 | Casanueva et al. 2018
Feudal Dialogue Management with Jointly Learned Feature Extractors | SIGDIAL 2018. | Casanueva et al. 2018
MultiWOZ – A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling | EMNLP 2018 (Best Resource Paper) | Budzianowski et al. 2018
Efficient Natural Language Response Suggestion for Smart Reply | In ArXiv e-prints, 2017 | Matthew Henderson et al. 2017
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints | TACL | Mrkšić et al. 2017
Neural Belief Tracker: Data-Driven Dialogue State Tracking | ACL 2017 | Mrkšić et al. 2017
A network-based end-to-end trainable task-oriented dialogue system | EACL 2017 | Wen et al. 2017
Latent intention dialogue models | ICML 2017 | Wen et al. 2017
Sample-efficient actor-critic reinforcement learning with supervised data for dialogue management | SIGDIAL 2017 | Su et al. 2017
Counter-fitting word vectors to linguistic constraints | NAACL 2016 | Mrkšić et al. 2016
On-line active reward learning for policy optimisation in spoken dialogue systems | ACL 2016 (Best Student Paper) | Su et al. 2016
A Benchmarking Environment for Reinforcement Learning Based Task Oriented Dialogue Management. Deep Reinforcement Learning Symposium | NIPS 2017 | Casanueva and Budzianowski et al. 2017
Conditional generation and snapshot learning in neural dialogue systems | EMNLP 2016 | Wen et al. 2016
Knowledge transfer between speakers for personalised dialogue management | SIGDIAL 2015 | (Best Paper Nomination) | Casanueva et al. 2015
Adaptive speech recognition and dialogue management for users with speech disorders | INTERSPEECH 2015 | Casanueva et al. 2015
Semantically conditioned lstm-based natural language generation for spoken dialogue systems | EMNLP 2015 (Best Paper Award) | Wen et al. 2015
Stochastic language generation in dialogue using recurrent neural networks with convolutional sentence reranking | SIGDIAL 2015 (Best Paper Award) | Wen et al. 2015
Learning from real users: Rating dialogue success with neural networks for reinforcement learning in spoken dialogue systems | INTERSPEECH | Su et al. 2015
The Second Dialog State Tracking Challenge | In SIGDIAL | Matthew Henderson et al. 2014
Word-based Dialog State Tracking with Recurrent Neural Networks |In SIGDIAL | Matthew Henderson et al. 2014