  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.
