Tensorflow seq2seq Implementation of Text Summarization.

Pointer-generator reinforced seq2seq summarization in PyTorch

Text summarization using seq2seq in Keras

Neural abstractive summarization (seq2seq + copy (or pointer network) + coverage) in pytorch on CNN/Daily Mail

A deep learning neural network for abstractive deep summarization

Abstractive text summarization by fine-tuning seq2seq models.

Universal seq2seq model for question generation, text summarization, machine translation etc. written in Python and Tensorflow 1.4 with Tensorflow's Beam Search API decoder

Supervised text summarization (title generation/recommendation) based on academic paper abstracts, with Seq2Seq LSTM and T5.

LCSTS,ROUGE,short text summarization,NLG,seq2seq

Extractive text summarization using seq2seq, PGN and coverage machanism.

Repo for Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization

Replication of the paper "Structured Neural Summarization" which uses Graph Neural Networks and Seq2Seq models to summarize natural language and source code.

Pointer Generator Network: Seq2Seq with attention, pointing and coverage mechanism for abstractive summarization.

A text summarizer using Seq2Seq model

This repository contains code and resources for abstractive text summarization (TS) using a novel framework that leverages knowledge-based word sense disambiguation (WSD) and semantic content generalization to enhance the performance of sequence-to-sequence (seq2seq) neural-based TS.

A Seq2Seq with attention and copy mechanism for sentence summarization

Text Summarization with Seq2Seq + Attention

RNN Seq2Seq Based Abstract Summarization(ABS) On Tensorflow

text summarization using Seq2Seq and CopyNet in Tensorflow

Applied attention on Sequence to Sequence model for the task of Text Summarizer using Tensorflow's raw_rnn. here, I haven't used Tensorflow's inbuilt seq2seq function. The reason behind is to apply attention mechanism manually.

This repo contains All abstractive summarization techniques from baseline seq2seq to State of the art T5

a keras implement for seq2seq text summarization method

Implementation of a seq2seq model for summarization of textual data using the latest version of tensorflow. Demonstrated on amazon reviews, github issues and news articles.

Text summarization using Seq2Seq model with TensorFlow

Text summarization for Chinese dialogues with seq2seq and attention

Internal training material implementing Seq2Seq model to text summarization problem

A text-summarization model based on Seq2seq famework . we use pytorch , torchtext to build the model

Abstractive Text Summarization Using Seq2Seq Model,BERT,RobertA,T5

Knowledge Distillation with TAs for seq2seq text summarization model PEGASUS

generating headlines using tensorflow seq2seq text summarization and text-rank algorithm