164 citations · 222 across the 9 of their papers we have counts for
4 papers · 1 filter
AMR Parsing using Stack-LSTMs
Miguel Ballesteros, Yaser Al-Onaizan
We present a transition-based AMR parser that directly generates AMR parses from plain text. We use Stack-LSTMs to represent our parser state and make decisions greedily. In our ex…
Attention-based Vocabulary Selection for NMT Decoding
Baskaran Sankaran, Markus Freitag, Yaser Al-Onaizan
Neural Machine Translation (NMT) models usually use large target vocabulary sizes to capture most of the words in the target language. The vocabulary size is a big factor when deco…
Beam Search Strategies for Neural Machine Translation
Markus Freitag, Yaser Al-Onaizan
The basic concept in Neural Machine Translation (NMT) is to train a large Neural Network that maximizes the translation performance on a given parallel corpus. NMT is then using a…
Ensemble Distillation for Neural Machine Translation
Markus Freitag, Yaser Al-Onaizan, Baskaran Sankaran
Knowledge distillation describes a method for training a student network to perform better by learning from a stronger teacher network. Translating a sentence with an Neural Machin…