--- title: "Julie Weeds — papers and cards" description: "Julie Weeds: 2 paper cards in the Research library (2004), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/julie-weeds/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/julie-weeds/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Julie Weeds # Julie Weeds 2 paper cards in the Research library · 2004 Julie Weeds wrote 2 of the papers Mova reads, in 2004, most of them on [Word sense disambiguation](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/); often with [Diana McCarthy](https://md.research.elamur.ai/free/en/authors/diana-mccarthy/), [John Carroll](https://md.research.elamur.ai/free/en/authors/john-carroll/), [Rob Koeling](https://md.research.elamur.ai/free/en/authors/rob-koeling/). [OpenAlex](https://openalex.org/A5016270907) · [ORCID](https://orcid.org/0000-0002-3831-4019) · [**h-index 15**](https://openalex.org/authors/A5016270907) · [1665 citations](https://openalex.org/authors/A5016270907) · [86 works](https://openalex.org/works?filter=author.id:A5016270907) — 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=Julie+Weeds) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Julie+Weeds) · [dblp](https://dblp.org/search?q=Julie+Weeds) · [ACL Anthology](https://aclanthology.org/search/?q=Julie+Weeds) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Julie+Weeds) Topics: [Word sense disambiguation](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/) 2 ## Papers 1. **[Finding Predominant Word Senses in Untagged Text](https://md.research.elamur.ai/free/en/papers/onto-2004-mccarthy-finding-predominant-word-senses-untagged/)** *(2004)* The most-frequent (predominant) sense is a strong baseline for word sense disambiguation, but it normally needs a hand-tagged corpus such as SemCor, which is small (about 250,000 words) and fixed in genre. 2. **[Automatic Identification of Infrequent Word Senses](https://md.research.elamur.ai/free/en/papers/aclbulk-2004-mccarthy-automatic-identification-infrequent-word-senses/)** *(2004)* The paper ranks the senses of a word without any sense-tagged data, using a thesaurus built from raw text (a BNC thesaurus of distributional neighbours) and WordNet similarity. ## Co-authors (3) - [Diana McCarthy](https://md.research.elamur.ai/free/en/authors/diana-mccarthy/) ×2 - [John Carroll](https://md.research.elamur.ai/free/en/authors/john-carroll/) ×2 - [Rob Koeling](https://md.research.elamur.ai/free/en/authors/rob-koeling/) ×2 ## More papers in the library (1) Pages of the Research library: our summary, the ideas, references and who cites each. - [Learning to Distinguish Hypernyms and Co-Hyponyms](https://md.research.elamur.ai/free/en/papers/weeds-2014-learning-distinguish-hypernyms-co-hyponyms/) — Julie Weeds, Daoud Clarke, Jeremy Reffin, et al. · 2014