pointer-generator
There are 32 repositories under pointer-generator topic.
yaserkl/RLSeq2Seq
Deep Reinforcement Learning For Sequence to Sequence Models
theamrzaki/text_summurization_abstractive_methods
Multiple implementations for abstractive text summurization , using google colab
xiongma/transformer-pointer-generator
A Abstractive Summarization Implementation with Transformer and Pointer-generator
Santosh-Gupta/ScientificSummarizationDataSets
Datasets I have created for scientific summarization, and a trained BertSum model
xueyouluo/my_seq2seq
My seq2seq based on tensorflow
laihuiyuan/pointer-generator
The pytorch implementation of Get To The Point: Summarization with Pointer-Generator Networks.
jiminsun/pointer-generator
Pytorch implementation of the ACL paper 'Get To The Point: Summarization with Pointer-Generator Networks (See et al., 2017)', adapted to a Korean dataset
wyu-du/GP-VAE
This repository contains the data and code for the paper "Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors" (SPNLP@ACL2022)
AIKevin/Pointer_Generator_Summarizer
Pointer Generator Network: Seq2Seq with attention, pointing and coverage mechanism for abstractive summarization.
Developer-Zer0/Get-To-The-Point-Summarization-with-Pointer-Generator-Networks
Pytorch implementation of Get To The Point: Summarization with Pointer-Generator Networks (2017) by Abigail See et al.
shengqiangzhang/transformer-pointer-generator-for-english-dataset
An Abstractive Summarization(for Datasets in English format) Implementation with Transformer and Pointer-generator
talha1503/Get-To-The-Point-Summarization-with-Pointer-Generator-Networks
Pytorch implementation of Get To The Point: Summarization with Pointer-Generator Networks (2017) by Abigail See et al.
JulesBelveze/text-summarizer
Text Summarizer implemented in PyTorch
Dai-Wenxun/Pointer-Generator-Networks
Pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
vcccaat/nlp
Text summarization methods introduction
AndreyKolomiets/News_Headline_Generation
Генерация новостных заголовков
carlos9310/pointer-generator
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
ishalyminov/copy_seq2seq
An Implementation of Copy Seq2Seq
ecly/pointer_summarization
Code for Master's Thesis on 'Neural Automatic Summarization' written at the IT University of Copenhagen
harshavkumar/pointer_generator_model
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.
nala-cub/g2p-pgt
Code implementation for the Paper "Making a Point: Pointer-Generator Transformers for Disjoint Vocabularies" (https://www.aclweb.org/anthology/2020.aacl-srw.13.pdf).
shouryashashank/abstract-summary
Corner stone seq2seq with attention (using bidirectional ltsm )
davidmrau/IR2
Towards more abstractive text summarization with Pointer-Generator Networks
Digby-L/UCL-NLP-Project-PointerGAN
UCL Statistical Natural Language Process Group Project. Text summarization with Seq-2-seq, pointer generator, SeqGAN and PointerGAN.
dinhngoc267/beam_search_seq2seq
An improved implementation of Beam Search Decoding in RNN-based Seq2Seq Architecture
sajithm/text_summarization_lstm_gru
# Comparing the performance of LSTM and GRU for Text Summarization using Pointer Generator Networks
elingaard/pointer-generator
Tensorflow 2.0 implementation of the Pointer-Generator network from the "Get to the Point" article (https://arxiv.org/abs/1704.04368)
soumye/Text-Summarization
Text Summarization using Residual Logarithmic LSTMs
YUECHE77/Pointer-Generator-Network-Pytorch
Get to the point - Pointer Generator Network
ecly/see_et_al_2017_rouge
Recalculating ROUGE scores for See et al. (2017) test outputs.
emingure/text-summarization
Pointer-Generator Networks with Different Word Embeddings for Abstractive Summarization