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Cristian Santini

Cristian Santini has 2 papers in our library, in 2026, most of them on Named entity recognition, Multilingual & cross-lingual NLP; often with Mehwish Alam, Marieke van Erp.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 4 · 63 works · 79 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #11468

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

 Affiliations

🎓University of MacerataMacerata · Italy2024–2026 · 16 paperscurrent🎓Télécom ParisPalaiseau · France2025–2026 · 7 paperscurrent🎓Institut Polytechnique de ParisPalaiseau · France2025–2026 · 4 paperscurrent🤝FIZ Karlsruhe – Leibniz Institute for Information InfrastructureEggenstein-Leopoldshafen · Germany2022–2024 · 11 papers🎓University of BolognaBologna · Italy2019–2022 · 7 papers🎓Karlsruhe Institute of TechnologyKarlsruhe · Germany2022–2024 · 6 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksLiterature and Literary Theory · 2 works

🧭 Topics 2Research subjects and languages the work is about.Named entity recognition · 2 worksMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. It's All About the Confidence: An Unsupervised Approach for Multilingual Historical Entity Linking using Large Language Models (2026 · 1 citation)
    The paper tackles entity linking on historical documents, where OCR noise, language variation, multilinguality and many entities absent from knowledge bases (NIL entities) degrade standard systems.
  2. ENEIDE: A High Quality Silver Standard Dataset for Named Entity Recognition and Linking in Historical Italian (2026)
    Historical Italian has very few annotated resources for Named Entity Recognition and Linking (NERL). The only earlier dataset, MHERCL, covers just music periodicals and offers only a test split, so it cannot be used for training. ENEIDE fills this gap by converting expert entity markup from two Scholarly Digital…

 Co-authors here

2 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated

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