Code for "Text Generation from Knowledge Graphs with Graph Transformers"

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

Graph Convolutional Networks for Text Classification. AAAI 2019

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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

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

Official Stanford NLP Python Library for Many Human Languages

Coursera Machine Learning By Prof. Andrew Ng

A Abstractive Summarization Implementation with Transformer and Pointer-generator

记录nlp相关内容

Data loaders and abstractions for text and NLP

Natural Language Processing Tutorial for Deep Learning Researchers

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

all kinds of text classification models and more with deep learning

Reading Wikipedia to Answer Open-Domain Questions

Models and examples built with TensorFlow

Mapping a variable-length sentence to a fixed-length vector using BERT model

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

A partial runnable code repo for annotated-transformer

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

A curated list of recent models of text generation and application

Open Source Neural Machine Translation in PyTorch

Build your neural network easy and fast

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Deep Learning and applications in Startups, CV, Text Mining, NLP

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Question answering dataset featured in "Teaching Machines to Read and Comprehend

An interface to and, in time, a Python reimplementation of the ROUGE package for evaluating summarization