23 citations · 69 across the 19 of their papers we have counts for
5 papers · 1 filter
Symbolic inductive bias for visually grounded learning of spoken language
Grzegorz Chrupała
A widespread approach to processing spoken language is to first automatically transcribe it into text. An alternative is to use an end-to-end approach: recent works have proposed t…
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…
Style Obfuscation by Invariance
Chris Emmery, Enrique Manjavacas, Grzegorz Chrupała
The task of obfuscating writing style using sequence models has previously been investigated under the framework of obfuscation-by-transfer, where the input text is explicitly rewr…
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…