Daniel Fried

2 paper cards in Mova's library · 2019

Daniel Fried wrote 2 of the papers Mova reads, in 2019, most of them on Machine translation; often with Dan Klein, Jacob Andreas, Nikita Kitaev.

The profile is the library's match of the name; two people with one name are not always told apart.

Papers

Pragmatically Informative Text Generation (2019)
Conditional generators often under-inform: a restaurant description may leave out attributes of its input meaning representation.
Cross-Domain Generalization of Neural Constituency Parsers (2019)
The paper trains constituency parsers on the WSJ and tests them zero-shot on Brown, Genia and the English Web Treebank, and on Chinese treebank domains.