no code implementations • GeBNLP (COLING) 2020 • Amanda Cercas Curry, Judy Robertson, Verena Rieser
We then outline a multi-disciplinary project of how we plan to address the complex question of gender and stereotyping in digital assistants.
no code implementations • EMNLP 2021 • Amanda Cercas Curry, Gavin Abercrombie, Verena Rieser
We find that the distribution of abuse is vastly different compared to other commonly used datasets, with more sexually tinted aggression towards the virtual persona of these systems.
no code implementations • 7 Mar 2024 • Amanda Cercas Curry, Giuseppe Attanasio, Zeerak Talat, Dirk Hovy
We argue for the inclusion of socioeconomic class in future language technologies.
no code implementations • 6 Mar 2024 • Amanda Cercas Curry, Zeerak Talat, Dirk Hovy
Since Labov's (1964) foundational work on the social stratification of language, linguistics has dedicated concerted efforts towards understanding the relationships between socio-demographic factors and language production and perception.
no code implementations • 5 Mar 2024 • Flor Miriam Plaza-del-Arco, Amanda Cercas Curry, Alba Curry, Gavin Abercrombie, Dirk Hovy
We then analyze the emotions generated by the models in relation to the gender-event pairs.
no code implementations • 4 Mar 2024 • Amanda Cercas Curry, Gavin Abercrombie, Zeerak Talat
Natural language processing research has begun to embrace the notion of annotator subjectivity, motivated by variations in labelling.
1 code implementation • 2 Mar 2024 • Flor Miriam Plaza-del-Arco, Alba Curry, Amanda Cercas Curry, Dirk Hovy
We then discuss four lacunae: (1) the absence of demographic and cultural aspects does not account for the variation in how emotions are perceived, but instead assumes they are universally experienced in the same manner; (2) the poor fit of emotion categories from the two main emotion theories to the task; (3) the lack of standardized EA terminology hinders gap identification, comparison, and future goals; and (4) the absence of interdisciplinary research isolates EA from insights in other fields.
no code implementations • 4 Dec 2023 • Donya Rooein, Amanda Cercas Curry, Dirk Hovy
We find large variations in the readability of the answers by different LLMs.
no code implementations • 16 May 2023 • Gavin Abercrombie, Amanda Cercas Curry, Tanvi Dinkar, Verena Rieser, Zeerak Talat
In this paper, we discuss the linguistic factors that contribute to the anthropomorphism of dialogue systems and the harms that can arise, including reinforcing gender stereotypes and notions of acceptable language.
no code implementations • 21 Dec 2022 • Alba Curry, Amanda Cercas Curry
Emotions are an integral part of human cognition and they guide not only our understanding of the world but also our actions within it.
1 code implementation • 20 Sep 2021 • Amanda Cercas Curry, Gavin Abercrombie, Verena Rieser
We find that the distribution of abuse is vastly different compared to other commonly used datasets, with more sexually tinted aggression towards the virtual persona of these systems.
1 code implementation • ACL (GeBNLP) 2021 • Gavin Abercrombie, Amanda Cercas Curry, Mugdha Pandya, Verena Rieser
Technology companies have produced varied responses to concerns about the effects of the design of their conversational AI systems.
1 code implementation • WS 2019 • Amanda Cercas Curry, Verena Rieser
How should conversational agents respond to verbal abuse through the user?
no code implementations • 20 Dec 2017 • Ioannis Papaioannou, Amanda Cercas Curry, Jose L. Part, Igor Shalyminov, Xinnuo Xu, Yanchao Yu, Ondřej Dušek, Verena Rieser, Oliver Lemon
Open-domain social dialogue is one of the long-standing goals of Artificial Intelligence.
no code implementations • 13 Sep 2017 • Amanda Cercas Curry, Helen Hastie, Verena Rieser
In contrast with goal-oriented dialogue, social dialogue has no clear measure of task success.
1 code implementation • EMNLP 2017 • Jekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry, Verena Rieser
The majority of NLG evaluation relies on automatic metrics, such as BLEU .