[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/authors/matan-eyal/)

[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/) / Matan Eyal

# Matan Eyal

2 paper cards in Mova's library · 2022–2023

Matan Eyal wrote 2 of the papers Mova reads, in 2022–2023, most of them on [Word sense disambiguation](https://md.mova.elamur.ai/free/en/docs/papers/topics/word-sense-disambiguation/); often with Hila Noga, Hillel Taub-Tabib, [Idan Szpektor](https://md.mova.elamur.ai/free/en/docs/papers/authors/idan-szpektor/).

[OpenAlex](https://openalex.org/A5035283714) · [**h-index 10**](https://openalex.org/authors/A5035283714) · [1507 citations](https://openalex.org/authors/A5035283714) · [30 works](https://openalex.org/works?filter=author.id:A5035283714) — 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=Matan+Eyal) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Matan+Eyal) · [dblp](https://dblp.org/search?q=Matan+Eyal) · [ACL Anthology](https://aclanthology.org/search/?q=Matan+Eyal) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Matan+Eyal)

Topics: [Word sense disambiguation](https://md.mova.elamur.ai/free/en/docs/papers/topics/word-sense-disambiguation/) 1

## Papers

1. **[Multilingual Sequence-to-Sequence Models for Hebrew NLP](https://md.mova.elamur.ai/free/en/docs/papers/findings-2023-eyal-multilingual-sequence-sequence-models-hebrew/)** *(2023)* The authors argue that Hebrew encoder-only models (AlephBERT, AlephBERT-Gimmel, HeBERT) cannot emit morphemes or labels that are not in the input, so they need extra segment-then-tag components.
2. **[Large Scale Substitution-based Word Sense Induction](https://md.mova.elamur.ai/free/en/docs/papers/lex-2022-eyal-substitution-wsi/)** *(2022)* The paper induces word senses for every frequent word of a large corpus. For each corpus position a masked language model proposes the top five substitutes, and the substitute vectors are clustered per word type into senses. The result is a sense-tagged corpus in which each sense comes with indicative words. Storing…

## Co-authors (7)

- Hila Noga
- Hillel Taub-Tabib
- [Idan Szpektor](https://md.mova.elamur.ai/free/en/docs/papers/authors/idan-szpektor/)
- [Reut Tsarfaty](https://md.mova.elamur.ai/free/en/docs/papers/authors/reut-tsarfaty/)
- [Roee Aharoni](https://md.mova.elamur.ai/free/en/docs/papers/authors/roee-aharoni/)
- [Shoval Sadde](https://md.mova.elamur.ai/free/en/docs/papers/authors/shoval-sadde/)
- [Yoav Goldberg](https://md.mova.elamur.ai/free/en/docs/papers/authors/yoav-goldberg/)
- [← previous Massimo Poesio](https://md.mova.elamur.ai/free/en/docs/papers/authors/massimo-poesio/)
- [next → Mathias Coeckelbergs](https://md.mova.elamur.ai/free/en/docs/papers/authors/mathias-coeckelbergs/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)