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summarization.ipynb (1849219, 2018-05-03)

# summarization Text Summarization of news articles in Neural Networks using Keras This project was undertaken to perform abstractive summarization on a news corpus by making use of deep learning models like encoder-decoder networks. Tasks performed: 1. Developing a unidirectional LSTM based encoder-decoder network for title generation corresponding to each lede. 2. Improvement of the model using attention. 3. The scores were evaluated using ROUGE scores. References: 1. http://colah.github.io/posts/2015-08-Understanding-LSTMs/ 2. http://blog.echen.me/2017/05/30/exploring-lstms/ 3. https://deeplearning4j.org/lstm.html 4. http://u.cs.biu.ac.il/~yogo/nnlp.pdf

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