--- title: "Silviu Paun — author profile and papers" description: "Silviu Paun: 8 papers on Elamur Research (2018–2023), h-index 10 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/silviu-paun/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/silviu-paun/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Silviu Paun # Silviu Paun 8 papers on this site · 2018–2023 Silviu Paun has 8 papers on this site, in 2018–2023, most of them on [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Massimo Poesio](https://md.research.elamur.ai/free/en/authors/massimo-poesio/), [Juntao Yu](https://md.research.elamur.ai/free/en/authors/juntao-yu/), [Nafise Sadat Moosavi](https://md.research.elamur.ai/free/en/authors/nafise-sadat-moosavi/). 2 of them are among the papers [Mova](https://md.research.elamur.ai/free/en/projects/mova/) reads. [OpenAlex](https://openalex.org/A5019552564) · [**h-index 10**](https://openalex.org/authors/A5019552564) · [35 works](https://openalex.org/works?filter=author.id:A5019552564) · [561 citations](https://openalex.org/works?filter=author.id:A5019552564&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [8 works on this site](https://md.research.elamur.ai/free/en/authors/silviu-paun/#papers) · [351 citations in our library](https://md.research.elamur.ai/free/en/authors/silviu-paun/cited-by/) · 4 more works in our library 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) ## Affiliations - [Queen Mary University of London](https://ror.org/026zzn846) · London, United Kingdom —2018–2023 on 27 papers - [Amazon (United States)](https://ror.org/04mv4n011) · Seattle, United States —2022–2023 on 2 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Topics [Coreference resolution 7](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Evaluation & benchmarks 1](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Papers The most cited first (OpenAlex and our library). 1. **[We Need to Consider Disagreement in Evaluation](https://md.research.elamur.ai/free/en/papers/basile-2021-we-need-consider-disagreement-evaluation/)** *(2021 · 185 citations)* This position paper questions the usual NLP practice of scoring predictions against a single aggregated "gold standard." The authors argue that this assumption breaks down because many items allow several valid labels and because annotators often disagree. 2. **[A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation](https://md.research.elamur.ai/free/en/papers/poesio-2019-crowdsourced-corpus-multiple-judgments-disagreement/)** *(2019 · 87 citations)* Coreference datasets such as ONTONOTES and PRECO release a single adjudicated reading per mention, even though annotators often genuinely disagree about anaphora. 3. **[A Probabilistic Annotation Model for Crowdsourcing Coreference](https://md.research.elamur.ai/free/en/papers/paun-2018-probabilistic-annotation-model-crowdsourcing-coreference/)** *(2018 · 25 citations)* Large coreference corpora are costly to build with expert annotators. Crowdsourcing is a cheaper option, but existing aggregation models assume a fixed label set shared across all items. In anaphoric annotation, the possible labels (antecedents and chains) differ in every document, so those models do not apply. The… 4. **[Stay Together: A System for Single and Split-antecedent Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/yu-2021-stay-together-system-single-split/)** *(2021 · 17 citations)* Split-antecedent anaphora occurs when a plural expression refers to a set built from separately mentioned entities, as in "they" referring to John and Mary. 5. **[Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/yu-2020-free-plural-unrestricted-split-antecedent/)** *(2020 · 17 citations)* 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… 6. **[The Universal Anaphora Scorer](https://md.research.elamur.ai/free/en/papers/yu-2022-universal-anaphora-scorer/)** *(2022 · 15 citations)* Coreference models now perform well on the identity anaphora annotated in ONTONOTES, so research is moving toward harder phenomena such as bridging, discourse deixis and plurals with split antecedents. 7. **[The Universal Anaphora Scorer 2.0](https://md.research.elamur.ai/free/en/papers/yu-2023-universal-anaphora-scorer-2-0/)** *(2023 · 10 citations)* The Universal Anaphora (UA) initiative wants evaluation tools that cover more than plain coreference. Version 1.0 of its scorer already handled identity anaphora, split antecedents, bridging and discourse deixis. However, it could only score contiguous mentions, and it could evaluate zero anaphora only when the zeros… 8. **[Scoring Coreference Chains with Split-Antecedent Anaphors](https://md.research.elamur.ai/free/en/papers/paun-2023-scoring-coreference-chains-split-antecedent/)** *(2023 · 9 citations)* 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. ## Also in our library 4 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Massimo Poesio](https://md.research.elamur.ai/free/en/authors/massimo-poesio/) ×8 - [Juntao Yu](https://md.research.elamur.ai/free/en/authors/juntao-yu/) ×7 - [Nafise Sadat Moosavi](https://md.research.elamur.ai/free/en/authors/nafise-sadat-moosavi/) ×5 - [Alexandra Uma](https://md.research.elamur.ai/free/en/authors/alexandra-uma/) ×2 - [Jon Chamberlain](https://md.research.elamur.ai/free/en/authors/jon-chamberlain/) ×2 - [Sameer Pradhan](https://md.research.elamur.ai/free/en/authors/sameer-pradhan/) ×2 - [Udo Kruschwitz](https://md.research.elamur.ai/free/en/authors/udo-kruschwitz/) ×2 - [Abdulrahman Aloraini](https://md.research.elamur.ai/free/en/authors/abdulrahman-aloraini/) - [Barbara Plank](https://md.research.elamur.ai/free/en/authors/barbara-plank/) - [Dirk Hovy](https://md.research.elamur.ai/free/en/authors/dirk-hovy/) - [Michael Fell](https://md.research.elamur.ai/free/en/authors/michael-fell/) - [Michal Novák](https://md.research.elamur.ai/free/en/authors/michal-novak/) ## Cited by Papers of our library cite their works 351 times (of the 140 884 papers whose bibliographies we read); [38 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/silviu-paun/cited-by/).