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Abstractive text summarization using pointer-generated networks and coverage along with a baseline bi-directional RNN encoder/decoder model
A curated list of resources dedicated to text summarization
The data and code for our IJCAI-ECAI 2018 paper: Constructing Narrative Event Evolutionary Graph for Script Event Prediction
:memo: A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
Text summarization using seq2seq in Keras
Neural Attention Model for Abstractive Summarization
Natural Language Generation with a denoising autoencoder
its for improve the mycode
:scroll: Understanding Probabilistic Topic Models with Simulation in Python
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Checkpoint tutorial on FloydHub for Pytorch, Keras and Tensorflow.
Code for "Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization"
Jupyter notebooks for text summarization using Deep Learning techniques
Multiple implementations for abstractive text summurization , using google colab
Text generation with a Variational Autoencoder
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