--- title: "Morgan Ulinski — papers and cards" description: "Morgan Ulinski: 2 paper cards in the Research library (2018–2019), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/morgan-ulinski/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/morgan-ulinski/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Morgan Ulinski # Morgan Ulinski 2 paper cards in the Research library · 2018–2019 Morgan Ulinski wrote 2 of the papers Mova reads, in 2018–2019, most of them on [Word sense disambiguation](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/); often with [Julia Hirschberg](https://md.research.elamur.ai/free/en/authors/julia-hirschberg/), Seth Benjamin. [OpenAlex](https://openalex.org/A5053473331) · [**h-index 7**](https://openalex.org/authors/A5053473331) · [122 citations](https://openalex.org/authors/A5053473331) · [18 works](https://openalex.org/works?filter=author.id:A5053473331) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Morgan+Ulinski) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Morgan+Ulinski) · [dblp](https://dblp.org/search?q=Morgan+Ulinski) · [ACL Anthology](https://aclanthology.org/search/?q=Morgan+Ulinski) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Morgan+Ulinski) Topics: [Word sense disambiguation](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/) 1 ## Papers 1. **[Crowdsourced Hedge Term Disambiguation](https://md.research.elamur.ai/free/en/papers/ulinski-2019-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](https://md.research.elamur.ai/free/en/papers/ulinski-2018-hedge-detection-improve-committed-belief/)** *(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) - [Julia Hirschberg](https://md.research.elamur.ai/free/en/authors/julia-hirschberg/) ×2 - Seth Benjamin