no code implementations • CLASP 2022 • Simon Dobnik, Robin Cooper, Adam Ek, Bill Noble, Staffan Larsson, Nikolai Ilinykh, Vladislav Maraev, Vidya Somashekarappa
In this paper we examine different meaning representations that are commonly used in different natural language applications today and discuss their limits, both in terms of the aspects of the natural language meaning they are modelling and in terms of the aspects of the application for which they are used.
no code implementations • PaM 2020 • Bill Noble, Ellen Breitholtz, Robin Cooper
In this paper, we propose a probabilistic model of social signalling which adopts a persona-based account of social meaning.
no code implementations • IWCS (ACL) 2021 • Bill Noble, Vladislav Maraev
We use dialogue act recognition (DAR) to investigate how well BERT represents utterances in dialogue, and how fine-tuning and large-scale pre-training contribute to its performance.
1 code implementation • 7 Mar 2023 • Bill Noble, Nikolai Ilinykh
Human speakers can generate descriptions of perceptual concepts, abstracted from the instance-level.
no code implementations • 10 Sep 2021 • Simon Dobnik, Robin Cooper, Adam Ek, Bill Noble, Staffan Larsson, Nikolai Ilinykh, Vladislav Maraev, Vidya Somashekarappa
In this paper we examine different meaning representations that are commonly used in different natural language applications today and discuss their limits, both in terms of the aspects of the natural language meaning they are modelling and in terms of the aspects of the application for which they are used.
no code implementations • Joint Conference on Lexical and Computational Semantics 2021 • Bill Noble, Asad Sayeed, Raquel Fern{\'a}ndez, Staffan Larsson
Just as the meaning of words is tied to the communities in which they are used, so too is semantic change.