Research output per year
Research output per year
10 Crichton Street, Informatics Forum
EH8 9AB Edinburgh
United Kingdom
The UKRI Centre for Doctoral Training in Natural Language Processing is jointly run by the School of Informatics and the School of Philosophy, Psychology and Language Sciences and is funded by UK Research & Innovation. It started in 2019 and will comprise 5 cohorts of c. 12-15 students per cohort.
Its aim is to equip students with the fundamental skills for advanced research in NLP and language science, giving them foundations in: linguistics, machine learning, statistics, algorithms, programming, working with other modalities such as vision and design, ethics, and responsible innovation as they apply to NLP systems.
A four-year integrated training programme, it will give students a solid foundation in the challenge of working with language in a computational setting and its relevance to critical engineering, scientific and ethical problems in our modern world. It also offers training in the key software engineering and machine learning skills necessary to solve these problems. The programme aims to have a transformative effect as we train, and on the field as a whole, by developing future leaders and producing cutting-edge research in both methodology and applications.
The CDT brings together researchers in NLP, speech, linguistics, cognitive science, and design informatics from across the University of Edinburgh. Students are supervised from a pool of over 60 members of faculty and benefit from cutting edge computing and experimental facilities.
Research output: Working paper › Preprint
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Rebekka Puderbaugh (Presenter), Catherine Lai (Presenter), Johannah O'Mahony (Presenter), Emelie Van de Vreken (Presenter), Sarenne Wallbridge (Contributor) & Chau Luu (Presenter)
Activity: Participating in or organising an event types › Public Engagement – Festival/Exhibition
Claire Cowie (Organiser), Stephen McNulty (Organiser), Lauren Hall-Lew (Organiser) & Nina Markl (Organiser)
Activity: Participating in or organising an event types › Public Engagement – Schools engagement
Claire Cowie (Speaker), Lauren Hall-Lew (Speaker), Bea Alex (Speaker), Nina Markl (Speaker), Stephen McNulty (Speaker), Zuzana Elliott Slosarova (Speaker), Anita Klingler (Speaker) & Clare Llewellyn (Speaker)
Activity: Academic talk or presentation types › Oral presentation
Bell, P. (Creator), Klejch, O. (Creator), Carmantini, A. (Creator), Markl, N. (Creator), Bogoychev, N. (Creator) & Sanabria Teixidor, R. (Creator), Edinburgh DataShare, 30 Mar 2023
DOI: 10.7488/ds/3832
Dataset
Kerr, N. (Creator), Lai, C. (Creator), Llewellyn, C. (Creator), Elliott slosarova, Z. (Creator), Klingler, A. (Creator), Hall-Lew, L. (Creator), Cowie, C. (Creator), McNulty, S. (Creator), Markl, N. (Creator) & Liu, S. (Creator), Edinburgh DataShare, 30 Mar 2021
DOI: 10.7488/ds/3009
Dataset
Lucas, C. (Creator), Garcin, S. (Creator), Albrecht, S. (Creator), Guo, S. (Creator) & Doran, J. (Creator), Edinburgh DataShare, 8 Jul 2024
DOI: 10.7488/ds/7769, https://doi.org/10.48550/arXiv.2402.03479
Dataset
Sarah Liu, Lauren Hall-Lew, Clare Llewellyn, Nina Markl & Stephen McNulty
5/02/21
1 Media contribution
Press/Media: Public Engagement Activities