no code implementations • SIGDIAL (ACL) 2022 • Nancie Gunson, Daniel Hernandez Garcia, Weronika Sieińska, Angus Addlesee, Christian Dondrup, Oliver Lemon, Jose L. Part, Yanchao Yu
Socially Assistive Robots (SARs) have the potential to play an increasingly important role in a variety of contexts including healthcare, but most existing systems have very limited interactive capabilities.
no code implementations • ReInAct 2021 • Angus Addlesee, Arash Eshghi
The next generation of conversational AI systems need to: (1) process language incrementally, token-by-token to be more responsive and enable handling of conversational phenomena such as pauses, restarts and self-corrections; (2) reason incrementally allowing meaning to be established beyond what is said; (3) be transparent and controllable, allowing designers as well as the system itself to easily establish reasons for particular behaviour and tailor to particular user groups, or domains.
1 code implementation • ReInAct 2021 • Katie Baker, Amit Parekh, Adrien Fabre, Angus Addlesee, Ruben Kruiper, Oliver Lemon
Questions about the spatial relations between these objects are particularly helpful to visually impaired people, and our system output more usable answers than other state of the art end-to-end VQA systems.
no code implementations • 11 Apr 2024 • Xavier Alameda-Pineda, Angus Addlesee, Daniel Hernández García, Chris Reinke, Soraya Arias, Federica Arrigoni, Alex Auternaud, Lauriane Blavette, Cigdem Beyan, Luis Gomez Camara, Ohad Cohen, Alessandro Conti, Sébastien Dacunha, Christian Dondrup, Yoav Ellinson, Francesco Ferro, Sharon Gannot, Florian Gras, Nancie Gunson, Radu Horaud, Moreno D'Incà, Imad Kimouche, Séverin Lemaignan, Oliver Lemon, Cyril Liotard, Luca Marchionni, Mordehay Moradi, Tomas Pajdla, Maribel Pino, Michal Polic, Matthieu Py, Ariel Rado, Bin Ren, Elisa Ricci, Anne-Sophie Rigaud, Paolo Rota, Marta Romeo, Nicu Sebe, Weronika Sieińska, Pinchas Tandeitnik, Francesco Tonini, Nicolas Turro, Timothée Wintz, Yanchao Yu
Despite the many recent achievements in developing and deploying social robotics, there are still many underexplored environments and applications for which systematic evaluation of such systems by end-users is necessary.
no code implementations • 6 Nov 2023 • Laura Schauer, Jason Sweeney, Charlie Lyttle, Zein Said, Aron Szeles, Cale Clark, Katie McAskill, Xander Wickham, Tom Byars, Daniel Hernández Garcia, Nancie Gunson, Angus Addlesee, Oliver Lemon
Today, conversational systems are expected to handle conversations in multi-party settings, especially within Socially Assistive Robots (SARs).
1 code implementation • 6 Nov 2023 • Angus Addlesee, Daniel Denley, Andy Edmondson, Nancie Gunson, Daniel Hernández Garcia, Alexandre Kha, Oliver Lemon, James Ndubuisi, Neil O'Reilly, Lia Perochaud, Raphaël Valeri, Miebaka Worika
Conversational agents participating in multi-party interactions face significant challenges in dialogue state tracking, since the identity of the speaker adds significant contextual meaning.
1 code implementation • 29 Aug 2023 • Angus Addlesee, Weronika Sieińska, Nancie Gunson, Daniel Hernández Garcia, Christian Dondrup, Oliver Lemon
This paper evaluates the extent to which current Large Language Models (LLMs) can capture task-oriented multi-party conversations (MPCs).
2 code implementations • COLING 2020 • Angus Addlesee, Yanchao Yu, Arash Eshghi
Automatic Speech Recognition (ASR) systems are increasingly powerful and more accurate, but also more numerous with several options existing currently as a service (e. g. Google, IBM, and Microsoft).
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 30 Sep 2020 • Angus Addlesee, Pierre Albert
We spent a year consulting experts on how to ethically capture and share recordings of multi-modal spontaneous conversations with vulnerable user groups.
no code implementations • 14 Sep 2019 • Angus Addlesee, Arash Eshghi, Ioannis Konstas
Dialogue technologies such as Amazon's Alexa have the potential to transform the healthcare industry.