sntcristian/DELICATE_models

This repository contains the pre-trained models for Named Entity Recognition and Linking for historical Italian presented in the paper "DELICATE: Diachronic Entity LInking using Classes and Temporal Evidence".

The directory contains the following folders:

• bert-base-italian-xxl-uncased: containing the pre-trained BERT model used by the bi-encoder
• blink_biencoder_base_wikipedia_ita: containing a BLINK bi-encoder trained on the Italian Wikipedia
• GBT: containing the Gradient-boosted Trees re-rankers trained on the ENEIDE dataset
• NER: containing GliNER-large models trained on ENEIDE
• KB: containing the faiss Index for BLINK and a Sqlite database containing metadata about the entities

Documentation for using the following models can be found in the DELICATE repository.

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license: gpl