School of Computer Science and Statistics
This project will investigate how individuals adapt to each other during a dialogue. Rather than focusing on speech recordings only, this project will involve the data collection and analysis of neural data from electroencephalography from two individuals simultaneously as a dialogue unfolds. This is part of a bigger project led by a PhD students in … Read more
This project will investigate how individuals familiarise with their conversational partners during a dialogue. The student will run an experiment to compare how the neural processing of speech changes as we learn about our interlocutor in different conversational scenarios. The project involves the design of a new experiment, collecting electrical brain data, and analysing that … Read more
Currently, the main method for enhancing the privacy of text is redaction i.e. masking out selected key words such as names, emails etc. While this is effective for removing obvious personally identifiable information, redacted text may potentially still leak textual patterns that can reveal authorship, sensitive topics (e.g. that the text relates to a medical … Read more
Transformer neural nets have transformed natural language processing, but they can also be applied to other sequences not just sequences of words. In particular, they can be applied to game playing, which consists of a sequence of moves and where the task is to predict a good next move. In this project you will investigate … Read more
Concept inventories are research-based multiple-choice tests that are used in educational settings to measure a student’s knowledge of a set of concepts while also capturing conceptions and misconceptions they may have about the topic under consideration. They provide useful information for students, lecturers and educational researchers. For example, they can provide lecturers with a measure … Read more