Marina Litvak

Papers

1. Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification (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 (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 (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? (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 (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 ×4
• Chaya Liebeskind ×3
• Assaf Ben Gur
• Daniel Keim
• Hagay Lipman
• Lior Liberov
• Mark Last
• Omar Hmdia
• Or Machlouf
• Rizek Abu Madeghem
• Sagiv Talker
• Slava Kisilevich

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