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# Elron Bandel

2 paper cards in Mova's library · 2021–2022

Elron Bandel wrote 2 of the papers Mova reads, in 2021–2022, most of them on [Named entity recognition](https://md.mova.elamur.ai/free/en/docs/papers/topics/named-entity-recognition/); often with [Amit Seker](https://md.mova.elamur.ai/free/en/docs/papers/authors/amit-seker/), [Dan Bareket](https://md.mova.elamur.ai/free/en/docs/papers/authors/dan-bareket/), [Idan Brusilovsky](https://md.mova.elamur.ai/free/en/docs/papers/authors/idan-brusilovsky/).

[OpenAlex](https://openalex.org/A5002225429) · [ORCID](https://orcid.org/0009-0001-0419-8849) · [**h-index 5**](https://openalex.org/authors/A5002225429) · [102 citations](https://openalex.org/authors/A5002225429) · [35 works](https://openalex.org/works?filter=author.id:A5002225429) — 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=Elron+Bandel) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Elron+Bandel) · [dblp](https://dblp.org/search?q=Elron+Bandel) · [ACL Anthology](https://aclanthology.org/search/?q=Elron+Bandel) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Elron+Bandel)

Topics: [Named entity recognition](https://md.mova.elamur.ai/free/en/docs/papers/topics/named-entity-recognition/) 1

## Ideas Mova took (1)

From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave.

- **kept** — Turn the morpheme head into a deterministic check: a segmenter's output for a token must concatenate back to the surface string. The paper's character-with-boundary view makes this a free invariant to test on every token. *([AlephBERT: Language Model Pre-training and Evaluation from…](https://md.mova.elamur.ai/free/en/docs/papers/acl-2022-seker-alephbert-language-model-pre-training/) · consonant check on every candidate (Model::spells): 0 failures on dev, test and the two-fold cv of train; kept as a gate over cut(); commit 5c24bc409)*

## Papers

1. **[AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level](https://md.mova.elamur.ai/free/en/docs/papers/acl-2022-seker-alephbert-language-model-pre-training/)** *(2022)* `1 idea kept` Seker et al. pre-train AlephBERT, a BERT-style model for Modern Hebrew, on about 1.9 billion words: the deduplicated Hebrew part of OSCAR, all of Hebrew Wikipedia, and Hebrew tweets, with a 52K wordpiece vocabulary. The base model trained for 10 epochs and took 8 days on eight V100 GPUs. The paper's main point is…
2. **[AlephBERT: A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2021-seker-alephbert-hebrew-large-pre-trained/)** *(2021)* The authors build AlephBERT, a BERT-base style language model for Modern Hebrew, pre-trained on about 1.9 billion words: deduplicated OSCAR, a large set of Hebrew tweets (72% of sentences), and Hebrew Wikipedia.

## Co-authors (6)

- [Amit Seker](https://md.mova.elamur.ai/free/en/docs/papers/authors/amit-seker/) ×2
- [Dan Bareket](https://md.mova.elamur.ai/free/en/docs/papers/authors/dan-bareket/) ×2
- [Idan Brusilovsky](https://md.mova.elamur.ai/free/en/docs/papers/authors/idan-brusilovsky/) ×2
- [Reut Tsarfaty](https://md.mova.elamur.ai/free/en/docs/papers/authors/reut-tsarfaty/) ×2
- Refael Greenfeld
- [Refael Shaked Greenfeld](https://md.mova.elamur.ai/free/en/docs/papers/authors/refael-shaked-greenfeld/)
- [← previous Ellie Pavlick](https://md.mova.elamur.ai/free/en/docs/papers/authors/ellie-pavlick/)
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