Shoval Sadde

3 paper cards in Mova's library · 2019–2022

Shoval Sadde wrote 3 of the papers Mova reads, in 2019–2022, most of them on Word sense disambiguation; often with Reut Tsarfaty, Amit Seker, Aynat Rubinstein.

The profile is the library's match of the name; two people with one name are not always told apart.

Ideas Mova took (1)

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

measured, no gain — Keep the lattice: let tools/hbo output every segmentation candidate of a token, with its tag and lemma per arc, and pass the whole lattice to gparse, so that the parser can choose the segmentation that fits the tree. (What's Wrong with Hebrew NLP? And How to Make it Right · lattice in tools/hbo (hbo lattice / gparse GP_SCORE / hbo choose): the tree score does not pick the gold split (gold candidate +0.13 mean tree gain vs -0.41…)

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…
The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing (2021)
The paper defines event-based modality detection: find every modal trigger in a sentence, of any part of speech (should, plan, prefers, probably, necessary, able), give it a sense, and link it to the head of the event it modifies.
What's Wrong with Hebrew NLP? And How to Make it Right (2019)
The paper presents ONLP (YAP), an open system for Modern Hebrew that does segmentation, POS tagging, lemmas, features and labelled dependencies in one package.