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stacked-bilstm

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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

SayamAlt / WNUT-2016-NER-using-Stacked-BiLSTMs-Attention

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Successfully implemented a Named Entity Recognition (NER) model on the WNUT 2016 dataset using Stacked BiLSTMs with Attention to effectively capture contextual dependencies and improve entity tagging accuracy in noisy user-generated text.

natural-language-processing named-entity-recognition attention attention-mechanism pos-tagging lstm-neural-networks bidirectional-lstm natural-language-understanding attention-is-all-you-need long-short-term-memory attention-mechanisms fasttext-embeddings ner-tagging stacked-bilstm
  • Updated Jul 4, 2025
  • Jupyter Notebook

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