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# Diana McCarthy

3 paper cards in Mova's library · 2004–2014

Diana McCarthy wrote 3 of the papers Mova reads, in 2004–2014, most of them on [Word sense disambiguation](https://md.mova.elamur.ai/free/en/docs/papers/topics/word-sense-disambiguation/), [Semantic role labeling](https://md.mova.elamur.ai/free/en/docs/papers/topics/semantic-role-labeling/); often with [John Carroll](https://md.mova.elamur.ai/free/en/docs/papers/authors/john-carroll/), [Julie Weeds](https://md.mova.elamur.ai/free/en/docs/papers/authors/julie-weeds/), [Rob Koeling](https://md.mova.elamur.ai/free/en/docs/papers/authors/rob-koeling/).

[OpenAlex](https://openalex.org/A5063848163) · [**h-index 33**](https://openalex.org/authors/A5063848163) · [3652 citations](https://openalex.org/authors/A5063848163) · [127 works](https://openalex.org/works?filter=author.id:A5063848163) — 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](https://scholar.google.com/citations?view_op=search_authors&mauthors=Diana+McCarthy) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Diana+McCarthy) · [dblp](https://dblp.org/search?q=Diana+McCarthy) · [ACL Anthology](https://aclanthology.org/search/?q=Diana+McCarthy) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Diana+McCarthy)

Topics: [Word sense disambiguation](https://md.mova.elamur.ai/free/en/docs/papers/topics/word-sense-disambiguation/) 2 · [Semantic role labeling](https://md.mova.elamur.ai/free/en/docs/papers/topics/semantic-role-labeling/) 1

## Papers

1. **[SemLink+: FrameNet, VerbNet and Event Ontologies](https://md.mova.elamur.ai/free/en/docs/papers/palmer-2014-semlink-framenet-verbnet-event-ontologies/)** *(2014)* A short review of SemLink, the set of mappings between PropBank, VerbNet, FrameNet and OntoNotes sense groupings, and of the event ontology the authors are building on top of it.
2. **[Finding Predominant Word Senses in Untagged Text](https://md.mova.elamur.ai/free/en/docs/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.
3. **[Automatic Identification of Infrequent Word Senses](https://md.mova.elamur.ai/free/en/docs/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 (5)

- [John Carroll](https://md.mova.elamur.ai/free/en/docs/papers/authors/john-carroll/) ×2
- [Julie Weeds](https://md.mova.elamur.ai/free/en/docs/papers/authors/julie-weeds/) ×2
- [Rob Koeling](https://md.mova.elamur.ai/free/en/docs/papers/authors/rob-koeling/) ×2
- [Claire Bonial](https://md.mova.elamur.ai/free/en/docs/papers/authors/claire-bonial/)
- [Martha Palmer](https://md.mova.elamur.ai/free/en/docs/papers/authors/martha-palmer/)
- [← previous Dian Yu](https://md.mova.elamur.ai/free/en/docs/papers/authors/dian-yu/)
- [next → Diego Alves](https://md.mova.elamur.ai/free/en/docs/papers/authors/diego-alves/)
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