GUA-SPA: Named entity classification

Given a text (sequence of tokens), identify the named entities as spans in the text, and classify each one with a category: person, location or organization.

Publication
Luis Chiruzzo, Marvin Agüero-Torales, Gustavo Giménez-Lugo, Aldo Alvarez, Yliana Rodríguez, Santiago Góngora, Thamar Solorio, Roberto Zanoli, Goutham Karunakaran (2023) Overview of GUA-SPA at IberLEF 2023: Guarani-Spanish Code Switching Analysis. Procesamiento del Lenguaje Natural, Revista nº 71, septiembre de 2023, pp. 321-328

Task results

System weighted f1
pughrob 0.70
amunozo 0.42

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.