Gavin Abercrombie

Orcid: 0000-0002-6546-3562

According to our database1, Gavin Abercrombie authored at least 28 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2024
NLP for Counterspeech against Hate: A Survey and How-To Guide.
CoRR, 2024

Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution.
CoRR, 2024

Subjective Isms? On the Danger of Conflating Hate and Offence in Abusive Language Detection.
CoRR, 2024

2023
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

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP.
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

2022
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

2021
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

2020
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

2019
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

2018
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

2016
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


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