News-Summarization-NLP

Easy to use extractive text summarization with BERT

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

Abstractive summarisation using Bert as encoder and Transformer Decoder

A Abstractive Summarization Implementation with Transformer and Pointer-generator

Pointer-generator reinforced seq2seq summarization in PyTorch

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)

Lecture summarization with BERT

Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"