A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms.
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CoRR, 2024
Subjective Isms? On the Danger of Conflating Hate and Offence in Abusive Language Detection.
CoRR, 2024
NLP for Counterspeech against Hate: A Survey and How-To Guide.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Re-examining Sexism and Misogyny Classification with Annotator Attitudes.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Understanding Counterspeech for Online Harm Mitigation.
CoRR, 2023
Mirages: On Anthropomorphism in Dialogue Systems.
CoRR, 2023
On the Origins of Bias in NLP through the Lens of the Jim Code.
CoRR, 2023
Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement.
CoRR, 2023
iLab at SemEval-2023 Task 11 Le-Wi-Di: Modelling Disagreement or Modelling Perspectives?
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
SemEval-2023 Task 11: Learning with Disagreements (LeWiDi).
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
Mirages. On Anthropomorphism in Dialogue Systems.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design.
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022
Risk-graded Safety for Handling Medical Queries in Conversational AI.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Topic-centric sentiment analysis of UK parliamentary debates.
PhD thesis, 2021
ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AI.
CoRR, 2021
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling.
CoRR, 2021
Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants.
CoRR, 2021
ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Detection in Conversational AI.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Sentiment and position-taking analysis of parliamentary debates: a systematic literature review.
J. Comput. Soc. Sci., 2020
Augmented Reality and Television: Dimensions and Themes.
Proceedings of the ACM International Conference on Interactive Media Experiences. IMX 2020, 2020
ParlVote: A Corpus for Sentiment Analysis of Political Debates.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Policy Preference Detection in Parliamentary Debate Motions.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019
Semantic Change in the Language of UK Parliamentary Debates.
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, 2019
Identifying Opinion-Topics and Polarity of Parliamentary Debate Motions.
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018
'Aye' or 'No'? Speech-level Sentiment Analysis of Hansard UK Parliamentary Debate Transcripts.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
A Rule-based Shallow-transfer Machine Translation System for Scots and English.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016
Putting Sarcasm Detection into Context: The Effects of Class Imbalance and Manual Labelling on Supervised Machine Classification of Twitter Conversations.
Proceedings of the ACL 2016 Student Research Workshop, Berlin, Germany, August 7-12, 2016, 2016