Adventures in Annotation for NLP
Most natural language processing tasks rely on human-labelled data in order to train supervised learning systems.
However, tasks can be subjective, and the “ground truth” labels may be
difficult or even impossible to ascertain. In this seminar, I will describe work on collecting, creating, analysing, and deploying labelled datasets for tasks including sarcasm detection, sentiment analysis, topic identification, and abuse detection in domains as diverse as social media, parliamentary
debates, and conversational AI.
Gavin Abercrombie is a postdoctoral research associate at Heriot-Watt University (Edinburgh, Scotland), where he is working on the ESPRC-funded project “Designing Conversational Assistants to Reduce Gender Bias”. He holds a PhD from the University of Manchester and an MSc from the University of Copenhagen, and is currently a visiting researcher at Bocconi University, Milan.
When: 18/11/2021 at 11.00
Where: in presentia (032_A_P03_3140)