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

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