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SayamAlt / CoNLL-2003-NER-using-Bidirectional-LSTM-Attention

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Successfully developed a Named Entity Recognition (NER) model on the CoNLL-2003 dataset using a Bidirectional LSTM with Attention mechanism to accurately identify entities such as persons, locations, organizations, and miscellaneous categories in English text.

natural-language-processing tensorflow keras attention-mechanism pos-tagging keras-tensorflow bidirectional-lstm natural-language-understanding attention-model attention-is-all-you-need attention-mechanisms fasttext-embeddings ner-tags ner-tagging fasttext-model ner-tag bidirectional-lstm-network
  • Updated Jul 4, 2025
  • Jupyter Notebook

SayamAlt / BC5CDR-NER-using-Stacked-BiGRUs-Attention

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Successfully developed a Named Entity Recognition (NER) model on the BC5CDR dataset using Stacked Bidirectional GRUs with Attention mechanism, designed to accurately identify chemical and disease entities from biomedical texts.

natural-language-processing named-entity-recognition attention attention-mechanism pos-tagging bidirectional-lstm natural-language-understanding attention-model attention-is-all-you-need attention-lstm named-entity-extraction fasttext-embeddings ner-tags ner-tagging fasttext-model stacked-bilstm
  • Updated Jul 4, 2025
  • Jupyter Notebook

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