---
title: "Albert Villanova del Moral — author profile and papers"
description: "Albert Villanova del Moral: 2 papers on Elamur Research (2021–2023) — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/albert-villanova-del-moral/"
---
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# Albert Villanova del Moral

2 papers on this site · 2021–2023

Albert Villanova del Moral has 2 papers on this site, in 2021–2023, most of them on [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Chenghao Mou](https://md.research.elamur.ai/free/en/authors/chenghao-mou/), [Christopher Akiki](https://md.research.elamur.ai/free/en/authors/christopher-akiki/), [Hugo Laurençon](https://md.research.elamur.ai/free/en/authors/hugo-lauren-ccon/).

No OpenAlex profile matched yet.

[2 works on this site](https://md.research.elamur.ai/free/en/authors/albert-villanova-del-moral/#papers) · [441 citations in our library](https://md.research.elamur.ai/free/en/authors/albert-villanova-del-moral/cited-by/)

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=Albert+Villanova+del+Moral) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Albert+Villanova+del+Moral) · [dblp](https://dblp.org/search?q=Albert+Villanova+del+Moral) · [ACL Anthology](https://aclanthology.org/search/?q=Albert+Villanova+del+Moral)

## Topics

[Multilingual & cross-lingual NLP 1](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/)

## Works by year

### 2020s

[**2023** 1 paper](https://md.research.elamur.ai/free/en/papers/lauren-2023-ccon-bigscience-roots-corpus-1-6tb/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/papers/lhoest-2021-datasets-community-library-natural-language/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Datasets: A Community Library for Natural Language Processing](https://md.research.elamur.ai/free/en/papers/lhoest-2021-datasets-community-library-natural-language/)** *(2021 · 358 citations)* NLP research now relies on many datasets of very different sizes for pretraining, fine-tuning and evaluation.
2. **[The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset](https://md.research.elamur.ai/free/en/papers/lauren-2023-ccon-bigscience-roots-corpus-1-6tb/)** *(2023 · 145 citations)* Training large language models requires huge text collections. Most such corpora are never published, and multilingual ones are especially scarce and poorly documented. This paper describes how the BigScience workshop built ROOTS (Responsible Open-science Open-collaboration Text Sources). BigScience was a year-long…

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Chenghao Mou](https://md.research.elamur.ai/free/en/authors/chenghao-mou/)
- [Christopher Akiki](https://md.research.elamur.ai/free/en/authors/christopher-akiki/)
- [Hugo Laurençon](https://md.research.elamur.ai/free/en/authors/hugo-lauren-ccon/)
- [Huu Nguyen](https://md.research.elamur.ai/free/en/authors/huu-nguyen/)
- [Joe Davison](https://md.research.elamur.ai/free/en/authors/joe-davison/)
- [Julien Chaumond](https://md.research.elamur.ai/free/en/authors/julien-chaumond/)
- [Leandro Von Werra](https://md.research.elamur.ai/free/en/authors/leandro-von-werra/)
- [Lewis Tunstall](https://md.research.elamur.ai/free/en/authors/lewis-tunstall/)
- [Lucile Saulnier](https://md.research.elamur.ai/free/en/authors/lucile-saulnier/)
- [Patrick von Platen](https://md.research.elamur.ai/free/en/authors/patrick-von-platen/)
- [Teven Le Scao](https://md.research.elamur.ai/free/en/authors/teven-le-scao/)
- [Thomas Wang](https://md.research.elamur.ai/free/en/authors/thomas-wang/)

## Cited by

Papers of our library cite their works 441 times (of the 140 884 papers whose bibliographies we read); [31 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/albert-villanova-del-moral/cited-by/).
