# Overview of CAPITEL Shared Tasks at IberLEF 2020: Named Entity Recognition and Universal Dependencies Parsing

arXiv: https://arxiv.org/abs/2011.05932 · HTML: https://mlsanity.com/paper/2011.05932/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Nov 2020.

## Built on by (most cited first, 4 of 4)

- [MarIA: Spanish Language Models](https://mlsanity.com/paper/2107.07253/) (2021)
- [Lessons learned from the evaluation of Spanish Language Models](https://mlsanity.com/paper/2212.08390/) (2022)
- [RigoBERTa: A State-of-the-Art Language Model For Spanish](https://mlsanity.com/paper/2205.10233/) (2022)
- [BasqueParl: A Bilingual Corpus of Basque Parliamentary Transcriptions](https://mlsanity.com/paper/2205.01506/) (2022)

## Abstract (arXiv)

We present the results of the CAPITEL-EVAL shared task, held in the context of the IberLEF 2020 competition series. CAPITEL-EVAL consisted on two subtasks: (1) Named Entity Recognition and Classification and (2) Universal Dependency parsing. For both, the source data was a newly annotated corpus, CAPITEL, a collection of Spanish articles in the newswire domain. A total of seven teams participated in CAPITEL-EVAL, with a total of 13 runs submitted across all subtasks. Data, results and further information about this task can be found at sites.google.com/view/capitel2020.