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pre-trained-embeddings

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AkashSDas / abstractive-text-summarization

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Abstractive text summarization models having encoder decoder architecture built using just LSTMs, Bidirectional LSTMs and Hybrid architecture and trained on TPU. Also pre-trained word embedding is used to speed up the process.

nlp eda kaggle lstm text-summarization seq2seq-model bidirectional-lstm kaggle-dataset tpu abstractive-summarization tensorflow2 encoder-decoder-architecture pre-trained-embeddings
  • Updated Apr 5, 2021
  • Jupyter Notebook

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