Matan Eyal
Matan Eyal wrote 2 of the papers Mova reads, in 2022–2023, most of them on Word sense disambiguation; often with Hila Noga, Hillel Taub-Tabib, Idan Szpektor.
OpenAlex · h-index 10 · 1507 citations · 30 works — openalex, 2026-10-18
Topics: Word sense disambiguation 1
Papers
- Multilingual Sequence-to-Sequence Models for Hebrew NLP (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. - Large Scale Substitution-based Word Sense Induction (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
- Reut Tsarfaty
- Roee Aharoni
- Shoval Sadde
- Yoav Goldberg
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