233 Open source projects that are alternatives of or similar to Sumrized

Hierarchical Attention Networks for document classification

Project 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.

A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

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

Natural Language Processing with TensorFlow, published by Packt

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

Chronic Disease Prediction Using Medical Notes

TextRank implementation for Python 3.

Implementation of character based convolutional neural network

paribhasha.herokuapp.com/

一个可以自己进行训练的中文聊天机器人， 根据自己的语料训练出自己想要的聊天机器人，可以用于智能客服、在线问答、智能聊天等场景。目前包含seq2seq、seqGAN版本、tf2.0版本、pytorch版本。

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

Test your HN title against a neural network

This is a further development of the kdnuggets article on fake news classification by George McIntyre

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

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

Code for Java Deep Learning Cookbook

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

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

Multiple implementations for abstractive text summurization , using google colab

Reuters and Bloomberg

A simple strategy for training and finetuning NLP models for Arabic. Specify the parameters and just wait for the results. A simple design that makes use of the different tools in our NLP pipeline.

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

Text summarization using seq2seq in Keras

Lazy, AI chatbot service.

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）

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

No description or website provided.

Text pre-processing library for deep learning (Keras, tensorflow).

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

package lingo provides the data structures and algorithms required for natural language processing

Abstractive text summarization based on deep learning and semantic content generalization

Adversarial Training for Neural Relation Extraction

Python wrapper for evaluating summarization quality by ROUGE package

Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.

TextRank implementation for C#

《机器阅读理解：算法与实践》代码

reimplementing Neural Summarization by Extracting Sentences and Words

Given a sentence automatically generate reading comprehension style factual questions from that sentence, such that the sentence contains answers to those questions.

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

One million English sentences, each split into two sentences that together preserve the original meaning, extracted from Wikipedia edits.

搜索所有中文NLP数据集，附常用英文NLP数据集

It consists of examples, assignments discussed in data science course taken at algorithmica.

[NAACL2018] Entity Commonsense Representation for Neural Abstractive Summarization

A PureScript, browser-based implementation of LDA topic modeling.

No description or website provided.

Models for automatic abstractive summarization

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

A guide on how to crack combinatorics puzzles shown in The Da Vinci Code movie using CS fundamentals and NLP

Tensorflow re-implementation of GAN for text summarization

Document Search Engine Tool

A practical guide to topic mining and interactive visualizations

The Entire Transcript from the Office in Tidy Format

Natural Language Processing notes and implementations.

Userscript that changes Clickbait headlines by headlines more honest to the news it links to.

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

Keras implementation for CrossNet in paper "Cross-Target Stance Classification with Self-Attention Networks"

Political Discourse Analysis Using Pre-Trained Word Vectors.

An implementation of skip-thought vectors in Tensorflow