Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

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

Deep Reinforcement Learning For Sequence to Sequence Models

Multiple implementations for abstractive text summurization , using google colab

A Abstractive Summarization Implementation with Transformer and Pointer-generator

Pointer-generator reinforced seq2seq summarization in PyTorch

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

Includes an implementation of JSON Schema Draft 4, an implementation of JSON pointer, and a JSON-schema-to-C# code generator

Datasets I have created for scientific summarization, and a trained BertSum model

基于transformer的指针生成网络

implementation pointer-generator-network by pytorch and python3

Pytorch implementation of "Get to the point: Get To The Point: Summarization with Pointer-Generator Networks"

The first and only scripting language with safe pointer arithmetics, high level of ABI and source compatibility with C, spreadsheet-like reactive programming, built-in lexer generator, and more.

Pointers to all templates and implementations based on static site generators

My seq2seq based on tensorflow

A deep learning neural network for abstractive deep summarization

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

No description available

:scorpius::heavy_plus_sign::sagittarius::arrow_right::heavy_check_mark: Build a summarizer models combining transformers and pointing mechanism

Pytorch implementation of the ACL paper 'Get To The Point: Summarization with Pointer-Generator Networks (See et al., 2017)', adapted to a Korean dataset

Pointer-generator transformer model and transformer model for the morphological inflection task. custom to the SIGMORPHON 2019 shared task.

This repository contains the data and code for the paper "Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors" (SPNLP@ACL2022)

Deep Learning framework implementation with MSE, ReLU, softmax, linear layer, a feature/label generator and a mini-batch training. The main goal of this repository is to show how to develop a project in C++ by using key concepts of C++: abstract class/interface and inheritance, memory management, smart-pointers, iterator, const expression, etc.

:closed_book::twisted_rightwards_arrows::page_facing_up: A deep learning neural network for abstractive deep summarization

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

指针生成网络的文本摘要

基于中文的营销文本生成，基于Pointer Generator Network和Converage的实现，此外还尝试各种文本数据增广和优化技巧

Transformer with pointer generator for machine translation

An implementation of pointer generator network by using bert as encoder and transformer decoder.

基于Bart语言模型的指针生成网络，用于中文语法纠错任务