---
title: "Marina Litvak — papers and cards"
description: "Marina Litvak: 5 paper cards in the Research library (2010–2025), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/marina-litvak/"
---
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# Marina Litvak

5 paper cards in the Research library · 2010–2025

Marina Litvak wrote 5 of the papers Mova reads, in 2010–2025; often with [Natalia Vanetik](https://md.research.elamur.ai/free/en/authors/natalia-vanetik/), [Chaya Liebeskind](https://md.research.elamur.ai/free/en/authors/chaya-liebeskind/), Assaf Ben Gur.

[OpenAlex](https://openalex.org/A5031572202) · [ORCID](https://orcid.org/0000-0003-3044-3681) · [**h-index 15**](https://openalex.org/authors/A5031572202) · [1030 citations](https://openalex.org/authors/A5031572202) · [114 works](https://openalex.org/works?filter=author.id:A5031572202) — 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=Marina+Litvak) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Marina+Litvak) · [dblp](https://dblp.org/search?q=Marina+Litvak) · [ACL Anthology](https://aclanthology.org/search/?q=Marina+Litvak) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Marina+Litvak)

## Papers

1. **[Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification](https://md.research.elamur.ai/free/en/papers/aclbulk-2025-vanetik-safer-hebrew-communication-dataset-offensive/)** *(2025)* The paper builds HeDetox, 600 Hebrew sentence pairs in which an explicitly offensive forum comment is paired with a non-offensive rewrite.
2. **[From Linguistics to Practice: a Case Study of Offensive Language Taxonomy in Hebrew](https://md.research.elamur.ai/free/en/papers/aclbulk-2024-liebeskind-linguistics-practice-case-study-offensive/)** *(2024)* The paper applies a Hebrew translation of the explicit-offence taxonomy of Lewandowska-Tomaszczyk et al. (2023) to Hebrew social-media text. Candidate offensive terms were found by co-occurrence (Dice coefficient) from 67 seed terms, and 683 were chosen by hand. Tweets were then extracted with those terms, and 450…
3. **[Detection of Negative Campaign in Israeli Municipal Elections](https://md.research.elamur.ai/free/en/papers/aclbulk-2022-litvak-detection-negative-campaign-israeli-municipal/)** *(2022)* The paper introduces TONIC, a dataset of Hebrew Facebook posts by 27 mayoral candidates in 12 Israeli cities (2018 municipal elections).
4. **[Offensive language detection in Hebrew: can other languages help?](https://md.research.elamur.ai/free/en/papers/lingbulk-2022-litvak-offensive-language-detection-hebrew-can/)** *(2022)* The authors build a binary offensive-language classifier for Hebrew, using a new set of 5217 annotated Facebook comments (two labels per comment, Kappa 0.82), and compare it with Arabic (9000 tweets) and English (OLID, 13 240 tweets).
5. **[Towards multi-lingual summarization: A comparative analysis of sentence extraction methods on English and Hebrew corpora](https://md.research.elamur.ai/free/en/papers/aclbulk-2010-litvak-multi-lingual-summarization-comparative-analysis/)** *(2010)* The paper compares 31 language-independent methods for scoring sentences for extractive single-document summaries: 15 published ones and 16 graph and vector methods introduced by the same group earlier.

## Co-authors (12)

- [Natalia Vanetik](https://md.research.elamur.ai/free/en/authors/natalia-vanetik/) ×4
- [Chaya Liebeskind](https://md.research.elamur.ai/free/en/authors/chaya-liebeskind/) ×3
- Assaf Ben Gur
- Daniel Keim
- Hagay Lipman
- Lior Liberov
- [Mark Last](https://md.research.elamur.ai/free/en/authors/mark-last/)
- Omar Hmdia
- Or Machlouf
- Rizek Abu Madeghem
- Sagiv Talker
- Slava Kisilevich