Action members Mike Kestemont (University of Antwerp) and Maciej Eder (Polish Academy of Sciences) are happy to report that they have recently secured funding for a three-year, collaborative research project, following a joint call of the Research agency of Flanders (FWO) and the Polish Academy of Sciences (PAS). The project can be considered a spin-off of this COST action and, as an academic airbridge between Antwerp and Krakow, it will intensify the already strong ties that exist between various research teams in their respective institutions.
The project is entitled ‘Deep Learning in Computational Stylistics.’ In the proposed collaboration, they aim to turn our attention to “deep” representation learning in order to improve computational methods for the robust stylistic analysis of short documents (< 1000 words). Although this technology is nowadays also emerging in Humanities research, it is surprising how (relatively) few applications have been reported so far in the domain of authorship attribution. The few research examples that have been published in this domain focus on micro-blogging data and is hard to extrapolate to longer documents. The researchers propose a three-year collaboration aimed at the introduction and adaptation of deep learning methods to computational stylistics, with an emphasis on author identification.
Congratulations to Mike and Maciej!