83 citations · 536 across the 64 of their papers we have counts for
3 papers · 2 filters
Hierarchical Phrase-based Sequence-to-Sequence Learning
Bailin Wang, Ivan Titov, Jacob Andreas +1
We describe a neural transducer that maintains the flexibility of standard sequence-to-sequence (seq2seq) models while incorporating hierarchical phrases as a source of inductive b…
Compositional Generalisation with Structured Reordering and Fertility Layers
Matthias Lindemann, Alexander Koller, Ivan Titov
Seq2seq models have been shown to struggle with compositional generalisation, i.e. generalising to new and potentially more complex structures than seen during training. Taking ins…
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation
Verna Dankers, Christopher G. Lucas, Ivan Titov
Unlike literal expressions, idioms' meanings do not directly follow from their parts, posing a challenge for neural machine translation (NMT). NMT models are often unable to transl…