Deep Reinforcement Learning For Sequence to Sequence Models
-
Updated
Mar 24, 2023 - Python
Deep Reinforcement Learning For Sequence to Sequence Models
A Abstractive Summarization Implementation with Transformer and Pointer-generator
My seq2seq based on tensorflow
The pytorch implementation of Get To The Point: Summarization with Pointer-Generator Networks.
Pytorch implementation of the ACL paper 'Get To The Point: Summarization with Pointer-Generator Networks (See et al., 2017)', adapted to a Korean dataset
This repository contains the data and code for the paper "Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors" (SPNLP@ACL2022)
Pointer Generator Network: Seq2Seq with attention, pointing and coverage mechanism for abstractive summarization.
An Abstractive Summarization(for Datasets in English format) Implementation with Transformer and Pointer-generator
Text Summarizer implemented in PyTorch
Pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
An Implementation of Copy Seq2Seq
resources for the paper 'Get To The Point: Summarization with Pointer-Generator Networks' with python3.x. overview on the post http://www.abigailsee.com/2017/04/16/taming-rnns-for-better-summarization.html or
Генерация новостных заголовков
Code for Master's Thesis on 'Neural Automatic Summarization' written at the IT University of Copenhagen
The pointer-generator network does a better job at copying words from the source text. Additionally it also is able to copy out-of-vocabulary words allowing the algorithm to handle unseen words even if the corpus has a smaller vocabulary.
Code implementation for the Paper "Making a Point: Pointer-Generator Transformers for Disjoint Vocabularies" (https://www.aclweb.org/anthology/2020.aacl-srw.13.pdf).
An improved implementation of Beam Search Decoding in RNN-based Seq2Seq Architecture
Towards more abstractive text summarization with Pointer-Generator Networks
# Comparing the performance of LSTM and GRU for Text Summarization using Pointer Generator Networks
Add a description, image, and links to the pointer-generator topic page so that developers can more easily learn about it.
To associate your repository with the pointer-generator topic, visit your repo's landing page and select "manage topics."