Search Results for author: Angus Addlesee

Found 10 papers, 4 papers with code

A Visually-Aware Conversational Robot Receptionist

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.

Question Answering

Incremental Graph-Based Semantics and Reasoning for Conversational AI

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.

The Spoon Is in the Sink: Assisting Visually Impaired People in the Kitchen

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.

Question Answering Visual Question Answering

Detecting Agreement in Multi-party Conversational AI

no code implementations6 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).

Speaker Recognition

A Comprehensive Evaluation of Incremental Speech Recognition and Diarization for Conversational AI

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

Ethically Collecting Multi-Modal Spontaneous Conversations with People that have Cognitive Impairments

no code implementations30 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.

Spoken Dialogue Systems

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