About the project
You will develop innovative techniques for argumentation mining in multimodal contexts, focusing on audio and natural language processing (NLP) applications. Understanding arguments in various formats, such as text, audio and video, is essential for effective communication and informed decision-making, meaning Argumentation Mining is a highly relevant and impactful research area.
You will work closely with an interdisciplinary team of researchers from computer science and political science and have the flexibility to tailor the project to your specific interests.
Your work may involve:
- investigating the impact of embedded audio features on argument detection
- designing methods for identifying and analysing arguments in informal dialogues
- developing advanced information extraction techniques for identifying arguments and their component parts within large-scale data sources
You will design and implement novel computational frameworks, using state-of-the-art methods in deep-learning-based NLP, audio, and multimodal models, and evaluate their effectiveness on real-world datasets to contribute to cutting-edge technologies that enhance communication and decision-making in the digital age.
You will join the School of Electronics and Computer Science, ranked first in the UK for Electrical and Electronic Engineering. Your supervisor team are interdisciplinary researchers in Argumentation Mining, Natural Language Processing and Political Science and you will have the opportunity to join exciting ongoing research in related areas. Professional development opportunities are available through the Alan Turing Institute, the UKRI TAS Hub, and with access to Future Worlds to explore commercialisation for your research.
The University of Southampton and its School of Electronics & Computer Science promote equality, diversity, and inclusivity, as demonstrated by our Athena SWAN awards. We also offer benefits for employees' well-being and work-life balance and are committed to sustainability with the Platinum EcoAward. We deeply encourage submissions from applicants from underrepresented communities and welcome applicants that value diversity and are willing to play their part in supporting inclusivity.
