GitHub - SayamAlt/Multilingual-German-NER-using-BiLSTM-Attention: Successfully developed a Named Entity Recognition (NER) model for German text using a Bidirectional LSTM with Attention on the Multilingual NER dataset, effectively identifying entities across multilingual corpora with contextual understanding.

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Name		Name	Last commit message	Last commit date
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datasets		datasets
train		train
validation		validation
.gitignore		.gitignore
bilstm_attention_ner_model.keras		bilstm_attention_ner_model.keras
model.png		model.png
multilingual-german-ner-using-bilstm-attention.ipynb		multilingual-german-ner-using-bilstm-attention.ipynb

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Successfully developed a Named Entity Recognition (NER) model for German text using a Bidirectional LSTM with Attention on the Multilingual NER dataset, effectively identifying entities across multilingual corpora with contextual understanding.