3 papers
cs.CL2019
Towards Using Context-Dependent Symbols in CTC Without State-Tying Decision Trees
Jan Chorowski, Adrian Lancucki, Bartosz Kostka +1
Deep neural acoustic models benefit from context-dependent (CD) modeling of output symbols. We consider direct training of CTC networks with CD outputs, and identify two issues. Th…
cs.CL2017
On Multilingual Training of Neural Dependency Parsers
Michał Zapotoczny, Paweł Rychlikowski, Jan Chorowski
We show that a recently proposed neural dependency parser can be improved by joint training on multiple languages from the same family. The parser is implemented as a deep neural n…
cs.CL2016
Read, Tag, and Parse All at Once, or Fully-neural Dependency Parsing
Jan Chorowski, Michał Zapotoczny, Paweł Rychlikowski
We present a dependency parser implemented as a single deep neural network that reads orthographic representations of words and directly generates dependencies and their labels. Un…