Mova0.5 pre-release⌕
☰
home / docs / papers / authors / Morgan Ulinski

Morgan Ulinski

2 paper cards in Mova's library · 2018–2019

Morgan Ulinski wrote 2 of the papers Mova reads, in 2018–2019, most of them on Word sense disambiguation; often with Julia Hirschberg, Seth Benjamin.

OpenAlex · h-index 7 · 123 citations · 18 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. Crowdsourced Hedge Term Disambiguation (2019)
    Hedge annotation is costly when experts do it, so the authors turn it into word sense disambiguation that crowd workers can do.
  2. Using Hedge Detection to Improve Committed Belief Tagging (2018)
    The paper adds hedge features to a committed-belief tagger. The tagger marks each proposition head as committed belief (CB), non-committed belief (NCB), reported belief (ROB) or non-belief (NA: desire, intention, question). Hedges are found from a 117-term dictionary in two ways: plain lemma lookup, or hand rules…

Co-authors (2)

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