59 citations · 91 across the 9 of their papers we have counts for
11 papers
Knowledge Base Question Answering for Space Debris Queries
Paul Darm, Antonio Valerio Miceli-Barone, Shay B. Cohen +1
Space agencies execute complex satellite operations that need to be supported by the technical knowledge contained in their extensive information systems. Knowledge bases (KB) are…
Distributionally Robust Recurrent Decoders with Random Network Distillation
Antonio Valerio Miceli-Barone, Alexandra Birch, Rico Sennrich
Neural machine learning models can successfully model language that is similar to their training distribution, but they are highly susceptible to degradation under distribution shi…
Survey of Low-Resource Machine Translation
Barry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone +2
We present a survey covering the state of the art in low-resource machine translation research. There are currently around 7000 languages spoken in the world and almost all languag…
The University of Edinburgh's Submissions to the WMT19 News Translation Task
Rachel Bawden, Nikolay Bogoychev, Ulrich Germann +4
The University of Edinburgh participated in the WMT19 Shared Task on News Translation in six language directions: English-to-Gujarati, Gujarati-to-English, English-to-Chinese, Chin…
Regularization techniques for fine-tuning in neural machine translation
Antonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann +1
We investigate techniques for supervised domain adaptation for neural machine translation where an existing model trained on a large out-of-domain dataset is adapted to a small in-…
Deep Architectures for Neural Machine Translation
Antonio Valerio Miceli Barone, Jindřich Helcl, Rico Sennrich +2
It has been shown that increasing model depth improves the quality of neural machine translation. However, different architectural variants to increase model depth have been propos…