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ner

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Named Entity Recognition with NER Dataset: Our project focuses on implementing Named Entity Recognition (NER) using a specialized NER dataset. Named Entity Recognition is a natural language processing (NLP) task that involves identifying and categorizing entities (such as names of persons, organizations, locations, etc.) within a body of text.

  • Updated May 7, 2024
  • Jupyter Notebook

EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learning, deep learning, and natural language processing with code included. ⭐ support NLP!

  • Updated May 5, 2024
  • Python

Explore this desktop-based Named Entity Recognition (NER) annotation tool built using Python and PyQt. Named Entity Recognition is a crucial task in Natural Language Processing (NLP),this tool provides an intuitive graphical interface for aiding in the creation of annotated datasets for training and evaluating NER models.

  • Updated May 3, 2024
  • Python

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