ZibaldoNERL: Named Entity Recognition and Linking on Giacomo Leopardi's Zibaldone

The ZibaldoNERL dataset provides silver annotations for entity disambiguation, extracted from DigitalZibaldone, the HTML digital edition of Giacomo Leopardi’s Zibaldone di pensieri, curated by Silvia Stoyanova and Ben Johnston [1]. The dataset was collected through a simple web scraping algorithm and includes 4,279 references to people, places, and bibliographical sources across 957 paragraphs. These annotations offer a valuable resource for tasks such as Named Entity Recognition (NER) and Entity Linking (EL) in the context of literary and linguistic research. The dataset can assist in training AI models to automatically recognize and disambiguate entities in literary works. The GitHub repository containing the code used to run NERL models on the data: GitHub - ZibaldoNERL. [1] Silvia Stoyanova and Ben Johnston (Eds.), Giacomo Leopardi's Zibaldone di pensieri: a digital research platform.