9 citations · 9 across the 3 of their papers we have counts for
4 papers · 2 filters
Lessons learned in multilingual grounded language learning
Ákos Kádár, Desmond Elliott, Marc-Alexandre Côté +2
Recent work has shown how to learn better visual-semantic embeddings by leveraging image descriptions in more than one language. Here, we investigate in detail which conditions aff…
Revisiting the Hierarchical Multiscale LSTM
Ákos Kádár, Marc-Alexandre Côté, Grzegorz Chrupała +1
Hierarchical Multiscale LSTM (Chung et al., 2016a) is a state-of-the-art language model that learns interpretable structure from character-level input. Such models can provide fert…
NeuralREG: An end-to-end approach to referring expression generation
Thiago Castro Ferreira, Diego Moussallem, Ákos Kádár +2
Traditionally, Referring Expression Generation (REG) models first decide on the form and then on the content of references to discourse entities in text, typically relying on featu…
On the difficulty of a distributional semantics of spoken language
Grzegorz Chrupała, Lieke Gelderloos, Ákos Kádár +1
In the domain of unsupervised learning most work on speech has focused on discovering low-level constructs such as phoneme inventories or word-like units. In contrast, for written…