Word-based abstractive text summarization using seq2seq-modeling with attention
-
Updated
Dec 16, 2019 - Jupyter Notebook
Word-based abstractive text summarization using seq2seq-modeling with attention
Successfully established a Seq2Seq with attention model which can perform English to Spanish language translation up to an accuracy of almost 97%.
Add a description, image, and links to the seq2seq-modeling topic page so that developers can more easily learn about it.
To associate your repository with the seq2seq-modeling topic, visit your repo's landing page and select "manage topics."