Python script to train a NER AI Model
-
Updated
Feb 21, 2025 - Python
Python script to train a NER AI Model
Custom Named Entity Recognition (NER) with BiLSTM CRF and Spacy
End-to-end NLP experiments for movie-genre prediction from plot summaries in English & Persian—covering document-level baselines, BERT fine-tuning, and NER+LSTM-CRF pipelines, with datasets and evaluation code.
This repo explores token classification for abbreviation and long-form detection using RoBERTa. We evaluate the impact of adding 50% of the PLODv2-filtered dataset, achieving improved F1 and recall. The repo includes methodology, evaluation using seqeval, and confusion matrix analysis.
Add a description, image, and links to the seqeval topic page so that developers can more easily learn about it.
To associate your repository with the seqeval topic, visit your repo's landing page and select "manage topics."