Mova0.5 pre-release⌕
☰
home / 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; often with Hila Noga, Hillel Taub-Tabib, Idan Szpektor.

OpenAlex · h-index 10 · 1507 citations · 30 works — 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 · Semantic Scholar · dblp · ACL Anthology · ORCID

Topics: Word sense disambiguation 1

Papers

  1. 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.
  2. 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)

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/matan-eyal/