Here you will find details of our Research Seminars.  If you would like to be sent the meeting link, please contact Dr Amanda Bloore {A[dot]Bloore[at]wlv.ac.uk}, who will be able to send you an invitation.  They provisionally take place on Wednesdays and Fridays.

If you would like to read about past Research Seminars, they are detailed on our RGCL Website.

RGCL Seminar Series

Natural Language Processing

Seminar Leads: Dr Frederic Blain & Dr Sara Moze

The seminar series on Natural Language Processing will offer the opportunity to our students to hear from researchers and industry practitioners about the most recent developments in the field.  Among the research areas relevant to NLP, the seminar series shall cover work on machine translation, text categorisation and summarization, sentiment analysis, as well as some of its application, such as in fake news detection, healthcare, etc. 

Technologies for Translation and Interpreting: Challenges and Latest Developments

Seminar Lead: Professor Ruslan Mitkov

This vibrant seminar series hosts leading scholars and CEOs of companies to report on their work and vision related to the technology for translators and interpreters covering among other topics translation and interpreting tools and resources and Natural Language Processing and Artificial Intelligence solutions. The seminar series has both strong research and industrial foci and as such serves not only as a forum showcasing latest research, professional practices, software and business developments but also bridging the gap between academia and the industry.

Machine Learning/Deep Learning

Seminar Lead: Dr Burcu Can

Machine Learning/Deep Learning seminar series aims to discuss current trends and challenges in machine learning and deep learning. The seminar series welcomes talks on machine learning models and algorithms, neural network architectures, representation learning techniques with an application to text, image, and speech. The seminar series also welcomes talks on the analysis and interpretation of neural networks.

Digital Humanities

Seminar Leads: Dr Tharinudu Ranasinghe

Digital Humanities, aka Cultural Analytics, is the computational study of the Humanities in a way that advanced Humanities research in such disciplines as history, literature, film, and geography. Commonly used methods are Natural Language Processing, Network Analysis, and Visualisation. Computational methods for the Humanities promise a revolution in Humanities research as they work hand in hand with domain experts who carry out the close readings. The Digital Humanities seminar series will give the students and staff the opportunity to listen to talks by, and engage with, leading figures in humanities computing from across the spectrum.