Mova0.5 pre-release⌕
☰
home / docs / papers / authors / Simone Conia

Simone Conia

2 paper cards in Mova's library · 2019–2023

Simone Conia wrote 2 of the papers Mova reads, in 2019–2023, most of them on Semantic role labeling; often with Roberto Navigli, Andrea Di Fabio, Riccardo Orlando.

OpenAlex · ORCID · h-index 12 · 763 citations · 73 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: Semantic role labeling 2

Papers

  1. Exploring Non-Verbal Predicates in Semantic Role Labeling: Challenges and Opportunities (2023)
    Most SRL research and benchmarks assume that predicates are verbs. The authors test a state-of-the-art PropBank system (CN-22) trained on OntoNotes. Its argument F1 falls from 84.7 on verbs to 16.4 on nouns, and a noun-trained model falls from 72.8 to 11.2 on verbs, so it does not transfer knowledge across predicate…
  2. VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling (2019)
    VerbAtlas clusters all 13,767 WordNet verb synsets by hand into 466 frames (EAT, KILL, GIVE, …; about 30 synsets each), each with one prototypical argument structure over 25 cross-frame roles taken from VerbNet (14 rare VerbNet roles merged into coarser ones, e.g.

Co-authors (3)

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