summarization

🔍 Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.

Module for automatic summarization of text documents and HTML pages.

Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

TextRank implementation for Python 3.

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

Summarization Papers

Automatically generate headlines to short articles

Basic statistics for Julia

Abstractive summarisation using Bert as encoder and Transformer Decoder

Korean BART

Pointer-generator reinforced seq2seq summarization in PyTorch

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

A Python wrapper for the ROUGE summarization evaluation package

🌀 ⚡ 🌍 TextRank (automatic text summarization) for PHP7 and 8

Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

Large-scale multi-document summarization dataset and code

Text2Text: Cross-lingual natural language processing and generation toolkit