[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/authors/idan-brusilovsky/) [home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/) / Idan Brusilovsky # Idan Brusilovsky 2 paper cards in Mova's library · 2021–2022 Idan Brusilovsky 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/), [Elron Bandel](https://md.mova.elamur.ai/free/en/docs/papers/authors/elron-bandel/). [OpenAlex](https://openalex.org/A5070119951) · [**h-index 4**](https://openalex.org/authors/A5070119951) · [193 citations](https://openalex.org/authors/A5070119951) · [9 works](https://openalex.org/works?filter=author.id:A5070119951) — 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=Idan+Brusilovsky) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Idan+Brusilovsky) · [dblp](https://dblp.org/search?q=Idan+Brusilovsky) · [ACL Anthology](https://aclanthology.org/search/?q=Idan+Brusilovsky) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Idan+Brusilovsky) 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 - [Elron Bandel](https://md.mova.elamur.ai/free/en/docs/papers/authors/elron-bandel/) ×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 Ida Szubert](https://md.mova.elamur.ai/free/en/docs/papers/authors/ida-szubert/) - [next → Idan Szpektor](https://md.mova.elamur.ai/free/en/docs/papers/authors/idan-szpektor/) - [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)