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# 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](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/), [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/), [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with [Ivan Titov](https://md.mova.elamur.ai/free/en/docs/papers/authors/ivan-titov/), [Jiangming Liu](https://md.mova.elamur.ai/free/en/docs/papers/authors/jiangming-liu/), [Mirella Lapata](https://md.mova.elamur.ai/free/en/docs/papers/authors/mirella-lapata/).

[OpenAlex](https://openalex.org/A5030503109) · [ORCID](https://orcid.org/0000-0003-4753-8353) · [**h-index 28**](https://openalex.org/authors/A5030503109) · [4864 citations](https://openalex.org/authors/A5030503109) · [243 works](https://openalex.org/works?filter=author.id:A5030503109) — 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](https://scholar.google.com/citations?view_op=search_authors&mauthors=Shay+B.+Cohen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shay+B.+Cohen) · [dblp](https://dblp.org/search?q=Shay+B.+Cohen) · [ACL Anthology](https://aclanthology.org/search/?q=Shay+B.+Cohen) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Shay+B.+Cohen)

Topics: [Discourse analysis](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/) 1 · [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/) 1 · [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 1

## Papers

1. **[Text Generation from Discourse Representation Structures](https://md.mova.elamur.ai/free/en/docs/papers/liu-2021-text-generation-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](https://md.mova.elamur.ai/free/en/docs/papers/findings-2021-wang-closer-look-into-robustness-neural/)** *(2021)* The paper attacks two English dependency parsers, a biaffine graph parser and a stack-pointer parser, by substituting words.

## Co-authors (7)

- [Ivan Titov](https://md.mova.elamur.ai/free/en/docs/papers/authors/ivan-titov/)
- [Jiangming Liu](https://md.mova.elamur.ai/free/en/docs/papers/authors/jiangming-liu/)
- [Mirella Lapata](https://md.mova.elamur.ai/free/en/docs/papers/authors/mirella-lapata/)
- Ting Liu
- [Wanxiang Che](https://md.mova.elamur.ai/free/en/docs/papers/authors/wanxiang-che/)
- Yuxuan Wang
- Zhilin Lei
- [← previous Shaul R. Shenhav](https://md.mova.elamur.ai/free/en/docs/papers/authors/shaul-r-shenhav/)
- [next → Shereen Oraby](https://md.mova.elamur.ai/free/en/docs/papers/authors/shereen-oraby/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)