9 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CL2019
Bootstrapping Disjoint Datasets for Multilingual Multimodal Representation Learning
Ákos Kádár, Grzegorz Chrupała, Afra Alishahi +1
Recent work has highlighted the advantage of jointly learning grounded sentence representations from multiple languages. However, the data used in these studies has been limited to…
cs.CL2019
Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop
Afra Alishahi, Grzegorz Chrupała, Tal Linzen
The EMNLP 2018 workshop BlackboxNLP was dedicated to resources and techniques specifically developed for analyzing and understanding the inner-workings and representations acquired…
cs.CL2015★ 9 cited
Learning language through pictures
Grzegorz Chrupała, Ákos Kádár, Afra Alishahi
We propose Imaginet, a model of learning visually grounded representations of language from coupled textual and visual input. The model consists of two Gated Recurrent Unit network…