--- title: "Silvia Terragni — author profile and papers — Elamur Research" description: "Silvia Terragni: 2 papers on Elamur Research (2021), h-index 8 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/silvia-terragni/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/silvia-terragni/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Silvia Terragni # Silvia Terragni Silvia Terragni has 2 papers in our library, in 2021, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Dirk Hovy](https://md.research.elamur.ai/free/en/authors/dirk-hovy/), [Federico Bianchi](https://md.research.elamur.ai/free/en/authors/federico-bianchi/), [Debora Nozza](https://md.research.elamur.ai/free/en/authors/debora-nozza/). 2 papers in our library · 2021 [OpenAlex](https://openalex.org/A5004310042) · [ORCID](https://orcid.org/0000-0002-0358-1854) · [**h-index 8**](https://openalex.org/authors/A5004310042) · [19 works](https://openalex.org/works?filter=author.id:A5004310042) · [692 citations](https://openalex.org/works?filter=author.id:A5004310042&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/silvia-terragni/#papers) · [🔗 Cited 158 times in our library](https://md.research.elamur.ai/free/en/authors/silvia-terragni/cited-by/) · [⭐ Paper Stars ranking: #3111](https://md.research.elamur.ai/free/en/paper-stars/page/32/#star-3111) 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=Silvia+Terragni) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Silvia+Terragni) · [dblp](https://dblp.org/search?q=Silvia+Terragni) · [ACL Anthology](https://aclanthology.org/search/?q=Silvia+Terragni) ## Affiliations [🎓**University of Milano-Bicocca** Milan · Italy 2019–2023 · 13 papers](https://md.research.elamur.ai/free/en/universities/university-of-milano-bicocca/) 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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [General Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) ## Works by year ### 2020s [**2021** 2 papers Silvia Terragni's papers of 2021](https://md.research.elamur.ai/free/en/authors/silvia-terragni/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence](https://md.research.elamur.ai/free/en/papers/bianchi-2021-pre-training-is-hot-topic/)** *(2021 · 366 citations)* Classic topic models take bag-of-words (BoW) input, which ignores word order and meaning. The resulting topics are often hard to interpret. The authors ask whether pre-trained contextual representations can make topics more coherent. 2. **[Cross-lingual Contextualized Topic Models with Zero-shot Learning](https://md.research.elamur.ai/free/en/papers/bianchi-2021-cross-lingual-contextualized-topic-models/)** *(2021 · 215 citations)* Classic bag-of-words topic models are bound to the vocabulary of their training language. They cannot process unseen words, and they cannot be reused for texts in other languages. Bianchi et al. propose ZeroShotTM, a neural topic model built on Neural-ProdLDA (a VAE). It takes multilingual SBERT document embeddings… ## Co-authors here 4 co-authors with a page, the most papers together first. - [Dirk Hovy](https://md.research.elamur.ai/free/en/authors/dirk-hovy/) ×2 - [Federico Bianchi](https://md.research.elamur.ai/free/en/authors/federico-bianchi/) ×2 - [Debora Nozza](https://md.research.elamur.ai/free/en/authors/debora-nozza/) - [Elisabetta Fersini](https://md.research.elamur.ai/free/en/authors/elisabetta-fersini/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/) - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2021](https://md.research.elamur.ai/free/en/venues/eacl/2021/) ## Cited by Papers of our library cite their works 158 times (of the 141,840 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/silvia-terragni/cited-by/). Updated 24 October 2026