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MON3EMPASHA

MON3EMPASHA / NER-for-New-Articles-trained-on-CoNLL03-Dataset

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关于

A Streamlit web application that demonstrates Named Entity Recognition (NER) for news articles using spaCy models trained on the CoNLL-2003 dataset. The app allows users to input custom text and visualize recognized entities (Person, Organization, Location, Date, Misc) with both highlighted text and entity lists.

ner-for-news-articles-trained-on-conll03-dataset-by-mon3em.streamlit.app
conll-2003entity-extractionentity-recognition机器学习named-entity-recognition自然语言处理nerPythonspaCystreamlit
创建时间

2025-07-13

是否国产

否

  修改时间

2025-07-14T01:24:49Z

Readme
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语言

  • Jupyter Notebook82.2%
  • Python17.5%
  • Shell0.3%