---
title: "Yuval Pinter — papers and cards"
description: "Yuval Pinter: 2 paper cards in the Research library (2022–2026), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/yuval-pinter/"
---
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# Yuval Pinter

2 paper cards in the Research library · 2022–2026

Yuval Pinter wrote 2 of the papers Mova reads, in 2022–2026; often with Elazar Gershuni, Yair Elboher.

[OpenAlex](https://openalex.org/A5008477284) · [ORCID](https://orcid.org/0000-0003-3174-1621) · [**h-index 14**](https://openalex.org/authors/A5008477284) · [1663 citations](https://openalex.org/authors/A5008477284) · [67 works](https://openalex.org/works?filter=author.id:A5008477284) — openalex-snapshot, 2026-10-14

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=Yuval+Pinter) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuval+Pinter) · [dblp](https://dblp.org/search?q=Yuval+Pinter) · [ACL Anthology](https://aclanthology.org/search/?q=Yuval+Pinter) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Yuval+Pinter)

## Papers

1. **[Hebrew Diacritics Restoration using Visual Representation](https://md.research.elamur.ai/free/en/papers/aclbulk-2026-elboher-hebrew-diacritics-restoration-visual-representation/)** *(2026)* The system DiVRIT restores Hebrew niqqud at word level, as a candidate-selection task. A candidate generator (k-nearest neighbours over undiacritized forms of the same length, using the frequency-sorted pointing patterns of each neighbour) produces two or three pointed candidates per word. A visual encoder, a…
2. **[Restoring Hebrew Diacritics Without a Dictionary](https://md.research.elamur.ai/free/en/papers/findings-2022-gershuni-restoring-hebrew-diacritics-without-dictionary/)** *(2022)* Most Modern Hebrew is written unpointed, and dotting (adding niqqud) needs expertise or a paid service; the state of the art, Dicta's Nakdan, uses morphological analysis, dictionaries and several networks.

## Co-authors (2)

- Elazar Gershuni
- Yair Elboher

## More papers in the library (2)

Pages of the Research library: our summary, the ideas, references and who cites each.

- [Learning to Faithfully Rationalize by Construction](https://md.research.elamur.ai/free/en/papers/jain-2020-learning-faithfully-rationalize-construction/) — Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, et al. · 2020
- [Attention is not not Explanation](https://md.research.elamur.ai/free/en/papers/wiegreffe-2019-attention-is-not-not-explanation/) — Sarah Wiegreffe, Yuval Pinter · 2019
