Seq2seq models have been shown to struggle with compositional generaliza...
In the last five years, there has been a significant focus in Natural
La...
Sequence-to-sequence (seq2seq) models have been successful across many N...
Seq2seq models have been shown to struggle with compositional generalisa...
A rapidly growing body of research on compositional generalization
inves...
AM dependency parsing is a method for neural semantic graph parsing that...
When generating technical instructions, it is often convenient to descri...
AM dependency parsing is a linguistically principled method for neural
s...
The emergence of a variety of graph-based meaning representations (MRs) ...
We investigate the capacity of mechanisms for compositional semantic par...
Most semantic parsers that map sentences to graph-based meaning
represen...
Chart constraints, which specify at which string positions a constituent...
We present a model which predicts how individual users of a dialog syste...
We present a semantic parser for Abstract Meaning Representations which
...