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# Kfir Bar

5 paper cards in Mova's library · 2020–2025

Kfir Bar wrote 5 of the papers Mova reads, in 2020–2025; often with [Nachum Dershowitz](https://md.mova.elamur.ai/free/en/docs/papers/authors/nachum-dershowitz/), Anna Bergrin, Brenda Kasabe Nokai.

[OpenAlex](https://openalex.org/A5069195550) · [ORCID](https://orcid.org/0000-0002-1354-2955) · [**h-index 11**](https://openalex.org/authors/A5069195550) · [362 citations](https://openalex.org/authors/A5069195550) · [81 works](https://openalex.org/works?filter=author.id:A5069195550) — 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=Kfir+Bar) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kfir+Bar) · [dblp](https://dblp.org/search?q=Kfir+Bar) · [ACL Anthology](https://aclanthology.org/search/?q=Kfir+Bar) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Kfir+Bar)

## Papers

1. **[Building Patient Journeys in Hebrew: A Language Model for Clinical Timeline Extraction](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2025-hashiloni-building-patient-journeys-hebrew-language/)** *(2025)* The authors continue the pre-training of DictaBERT 2.0 on about 5 million de-identified Hebrew hospital records (about 0.55 billion words).
2. **[Code-Switching and Back-Transliteration Using a Bilingual Model](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-mitelman-code-switching-back-transliteration-bilingual/)** *(2024)* The paper handles Judeo-Arabic, Arabic written in Hebrew letters with Hebrew and Aramaic borrowings, in two steps.
3. **[Temporal Relation Classification in Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/narr-2023-yanko-temporal-relation-classification-hebrew/)** *(2023)* The paper asks, for two event mentions in a Hebrew news text, which happened first: temporal relation classification (TRC).
4. **[How Much Does Lookahead Matter for Disambiguation? Partial Arabic Diacritization Case Study](https://md.mova.elamur.ai/free/en/docs/papers/cl-2022-esmail-how-much-does-lookahead-matter/)** *(2022)* The authors ask which short vowels a reader of unpointed Arabic really needs, and they print only those. Two neural diacritizers are trained on the Tashkeela corpus: a unidirectional LSTM that sees only the words already read, and a transformer that sees the whole sentence. Where the two disagree, the whole-sentence…
5. **[Transliteration of Judeo-Arabic Texts into Arabic Script Using Recurrent Neural Networks](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2020-terner-transliteration-judeo-arabic-texts-into/)** *(2020)* Judeo-Arabic texts are written in Hebrew letters, and converting them to Arabic script is mostly letter-for-letter, but the letter mapping is ambiguous (alef, yod, hamza, alif maqsura, missing shadda and tanwin).

## Co-authors (14)

- [Nachum Dershowitz](https://md.mova.elamur.ai/free/en/docs/papers/authors/nachum-dershowitz/) ×4
- Anna Bergrin
- Brenda Kasabe Nokai
- Daniel Weisberg Mitelman
- Esthy Shemesh
- Guy Yanko
- Kai Golan Hashiloni
- Liat Nadai Arad
- Liran Harel
- Michal Shevach
- Ori Terner
- Ronit Bartin
- Saeed Esmail
- Shahaf Pariente
- [← previous Kevin Stowe](https://md.mova.elamur.ai/free/en/docs/papers/authors/kevin-stowe/)
- [next → Khalil Sima'an](https://md.mova.elamur.ai/free/en/docs/papers/authors/khalil-sima-an/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)