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SayamAlt / MIT-Movies-NER-using-Bidirectional-GRU-Attention

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Successfully developed a Named Entity Recognition (NER) model using a Bidirectional GRU with Attention on the MIT Movies dataset to identify and classify movie-related entities like titles, actors, and genres.

natural-language-processing named-entity-recognition attention-mechanism bidirectional-gru natural-language-understanding attention-model named-entity-linking attention-is-all-you-need attention-mechanisms gated-recurrent-units named-entity-extraction gated-recurrent-unit fasttext-embeddings ner-task ner-tagging ner-corpus fasttext-model bigru bidirectional-gru-
  • Updated Jul 4, 2025
  • Jupyter Notebook

SayamAlt / Multilingual-German-NER-using-BiLSTM-Attention

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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.

natural-language-processing deep-learning tensorflow keras named-entity-recognition pos-tagging keras-tensorflow natural-language-understanding named-entity-linking named-entity-extraction fasttext-embeddings ner-evaluation ner-tagging ner-model ner-corpus fasttext-model ner-tag
  • Updated Jul 4, 2025
  • Jupyter Notebook

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