no code implementations • 15 Dec 2021 • Lorin Sweeney, Ana Matran-Fernandez, Sebastian Halder, Alba G. Seco de Herrera, Alan Smeaton, Graham Healy
The aim of the Memorability-EEG pilot subtask at MediaEval'2021 is to promote interest in the use of neural signals -- either alone or in combination with other data sources -- in the context of predicting video memorability by highlighting the utility of EEG data.
1 code implementation • 4 May 2021 • Marc Gorriz Blanch, Issa Khalifeh, Alan Smeaton, Noel O'Connor, Marta Mrak
Stylised outputs are then obtained by computing similarities between both feature representations in order to transfer the style of the reference to the content of the target input.
1 code implementation • COLING (MWE) 2020 • Lifeng Han, Gareth Jones, Alan Smeaton
To facilitate further MT research, we present a categorisation of the error types encountered by MT systems in performing MWE related translation.
no code implementations • 1 May 2020 • Mark Marsden, Kevin McGuinness, Joseph Antony, Haolin Wei, Milan Redzic, Jian Tang, Zhilan Hu, Alan Smeaton, Noel E. O'Connor
This work investigates the use of class-level difficulty factors in multi-label classification problems for the first time.
no code implementations • 29 Oct 2017 • Yvette Graham, George Awad, Alan Smeaton
We present Direct Assessment, a method for manually assessing the quality of automatically-generated captions for video.