Mova0.5 pre-release⌕
☰
home / docs / papers / authors / Julie Weeds

Julie Weeds

2 paper cards in Mova's library · 2004

Julie Weeds wrote 2 of the papers Mova reads, in 2004, most of them on Word sense disambiguation; often with Diana McCarthy, John Carroll, Rob Koeling.

OpenAlex · ORCID · h-index 15 · 1688 citations · 86 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 2

Papers

  1. Finding Predominant Word Senses in Untagged Text (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 (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)

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