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# Silviu Paun

2 paper cards in Mova's library · 2020–2023

Silviu Paun wrote 2 of the papers Mova reads, in 2020–2023, most of them on [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/); often with [Juntao Yu](https://md.mova.elamur.ai/free/en/docs/papers/authors/juntao-yu/), [Massimo Poesio](https://md.mova.elamur.ai/free/en/docs/papers/authors/massimo-poesio/), [Nafise Sadat Moosavi](https://md.mova.elamur.ai/free/en/docs/papers/authors/nafise-sadat-moosavi/).

[OpenAlex](https://openalex.org/A5019552564) · [**h-index 10**](https://openalex.org/authors/A5019552564) · [569 citations](https://openalex.org/authors/A5019552564) · [42 works](https://openalex.org/works?filter=author.id:A5019552564) — 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=Silviu+Paun) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Silviu+Paun) · [dblp](https://dblp.org/search?q=Silviu+Paun) · [ACL Anthology](https://aclanthology.org/search/?q=Silviu+Paun) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Silviu+Paun)

Topics: [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/) 2

## Papers

1. **[Scoring Coreference Chains with Split-Antecedent Anaphors](https://md.mova.elamur.ai/free/en/docs/papers/paun-2023-scoring-coreference-chains-split-antecedent/)** *(2023)* Standard coreference scorers (MUC, B3, CEAF, LEA, BLANC) assume that every anaphor refers to one entity, so they cannot score split-antecedent references such as "they" for "John" and "Mary" in "John met Mary.
2. **[Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution](https://md.mova.elamur.ai/free/en/docs/papers/yu-2020-free-plural-unrestricted-split-antecedent/)** *(2020)* Most coreference systems give a mention one antecedent, so «John met Mary. They had a chat» cannot be resolved: they refers to two separately introduced entities. The paper builds the first model for this split-antecedent case in general, on ARRAU (news, dialogue, fiction, medical; 507 training anaphors), with gold…

## Co-authors (3)

- [Juntao Yu](https://md.mova.elamur.ai/free/en/docs/papers/authors/juntao-yu/) ×2
- [Massimo Poesio](https://md.mova.elamur.ai/free/en/docs/papers/authors/massimo-poesio/) ×2
- [Nafise Sadat Moosavi](https://md.mova.elamur.ai/free/en/docs/papers/authors/nafise-sadat-moosavi/) ×2
- [← previous Silvia Hansen-Schirra](https://md.mova.elamur.ai/free/en/docs/papers/authors/silvia-hansen-schirra/)
- [next → Simon Mille](https://md.mova.elamur.ai/free/en/docs/papers/authors/simon-mille/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)