Mova0.5 pre-release⌕
☰
home / docs / papers / authors / Shay B. Cohen

Shay B. Cohen

2 paper cards in Mova's library · 2021

Shay B. Cohen wrote 2 of the papers Mova reads, in 2021, most of them on Discourse analysis, Dependency parsing, Machine translation; often with Ivan Titov, Jiangming Liu, Mirella Lapata.

OpenAlex · ORCID · h-index 28 · 4864 citations · 243 works — openalex, 2026-10-18

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology · ORCID

Topics: Discourse analysis 1 · Dependency parsing 1 · Machine translation 1

Papers

  1. Text Generation from Discourse Representation Structures (2021)
    The paper generates document text from DRSs on the Groningen Meaning Bank. Two problems make DRSs hard to generate from. First, the conditions of a box form a set, so one meaning can arrive in many orders; the paper learns a canonical order with a graph model (a graph neural network over conditions followed by a…
  2. A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples (2021)
    The paper attacks two English dependency parsers, a biaffine graph parser and a stack-pointer parser, by substituting words.

Co-authors (7)

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/shay-b-cohen/