Top 52 text-summarization open source projects

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

Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network

비지도학습 방법으로 한국어 텍스트에서 단어/키워드를 자동으로 추출하는 라이브러리입니다

中文文本生成（NLG）之文本摘要（text summarization）工具包, 语料数据(corpus data), 抽取式摘要 Extractive text summary of Lead3、keyword、textrank、text teaser、word significance、LDA、LSI、NMF。（graph，feature，topic model，summarize tool or tookit）

ROUGE automatic summarization evaluation toolkit. Support for ROUGE-[N, L, S, SU], stemming and stopwords in different languages, unicode text evaluation, CSV output.

Python wrapper for evaluating summarization quality by ROUGE package

Preparing a dataset for TensorFlow text summarization (TextSum) model.

搜索所有中文NLP数据集，附常用英文NLP数据集

Code for paper "Discourse-Aware Neural Extractive Text Summarization" (ACL20)

Tensorflow re-implementation of GAN for text summarization

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

Python Framework for Extractive Text Summarization

An implementation of skip-thought vectors in Tensorflow

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

On Generating Extended Summaries of Long Documents

Dataset for CIKM 2018 paper "Multi-Source Pointer Network for Product Title Summarization"

💨Making communication📞easier and faster🚅for all 👦 + 👧 + 👴 + 👶 + 🐮 + 🐦 + 🐱

TextRank implementation for Python 3.

The guide to tackle with the Text Summarization

文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法

Tensorflow seq2seq Implementation of Text Summarization.

Paper reading list in natural language processing, including dialogue systems and text generation related topics.

Well tested & Multi-language evaluation framework for text summarization.

Multiple implementations for abstractive text summurization , using google colab

自然语言处理工具Macropodus，基于Albert+BiLSTM+CRF深度学习网络架构，中文分词，词性标注，命名实体识别，新词发现，关键词，文本摘要，文本相似度，科学计算器，中文数字阿拉伯数字(罗马数字)转换，中文繁简转换，拼音转换。tookit(tool) of NLP，CWS(chinese word segnment)，POS(Part-Of-Speech Tagging)，NER(name entity recognition)，Find(new words discovery)，Keyword(keyword extraction)，Summarize(text summarization)，Sim(text similarity)，Calculate(scientific calculator)，Chi2num(chinese number to arabic number)

Text summarization using seq2seq in Keras

Text summarization starting from scratch.

No description or website provided.

A text document will be provided and it'll produce it's summary

Abstractive text summarization based on deep learning and semantic content generalization

A small NLP SAAS project that summarize a webpage

TextRank implementation for C#

In a nutshell, this is a Text Summarizer

Gazeta: Dataset for automatic summarization of Russian news / Газета: набор данных для автоматического реферирования на русском языке

Library of state-of-the-art models (PyTorch) for NLP tasks

[NAACL2018] Entity Commonsense Representation for Neural Abstractive Summarization

This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

텍스트 요약 분야의 주요 연구 주제, Must-read Papers, 이용 가능한 model 및 data 등을 추천 자료와 함께 정리한 저장소입니다.

Document Search Engine Tool

A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.

Natural Language Processing notes and implementations.

Multilingual automatic text summarizer using statistical approach and extraction

Abstractive and Extractive Text summarization using Transformers.

An implementation of transformer-based language model for sentence rewriting tasks such as summarization, simplification, and grammatical error correction.

A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)

Statistical and Semantical Text Summarizer in Persian Language

Automatic Text Summarization (English/Arabic).

A simple python implementation of the Maximal Marginal Relevance (MMR) baseline system for text summarization.

Scripts for an upcoming blog "Extractive vs. Abstractive Summarization" for RaRe Technologies.

A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.

reimplementing Neural Summarization by Extracting Sentences and Words