# Text Information Extraction

EurekaQA is an AI Q&A model based on advanced machine learning algorithms, capable of automatically extracting information to answer questions by analyzing text data.

This model is a Named Entity Recognition (NER) model fine-tuned based on the DistilBERT base version, trained on an unknown dataset with an evaluation set F1 score of 0.8545.

This is a model for Arabic named entity recognition, capable of identifying entities such as person names, place names, and organization names in text.

A lightweight named entity recognition model based on DistilBERT, fine-tuned on an unknown dataset, featuring efficient inference speed and good entity recognition capability.

This is a BERT-based Turkish named entity recognition model, suitable for entity recognition tasks in Turkish texts.