Topic: pointer-generator Goto Github
Some thing interesting about pointer-generator
Some thing interesting about pointer-generator
pointer-generator,Pointer Generator Network: Seq2Seq with attention, pointing and coverage mechanism for abstractive summarization.
User: aikevin
Home Page: http://www.abigailsee.com/2017/04/16/taming-rnns-for-better-summarization.html
pointer-generator,Генерация новостных заголовков
User: andreykolomiets
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
User: carlos9310
Home Page: https://carlos9310.github.io/2019/11/19/add-copy-to-seq2seq-with-attention/
pointer-generator,Pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
User: dai-wenxun
pointer-generator,Towards more abstractive text summarization with Pointer-Generator Networks
User: davidmrau
pointer-generator,Pytorch implementation of Get To The Point: Summarization with Pointer-Generator Networks (2017) by Abigail See et al.
User: developer-zer0
pointer-generator,UCL Statistical Natural Language Process Group Project. Text summarization with Seq-2-seq, pointer generator, SeqGAN and PointerGAN.
User: digby-l
pointer-generator,Code for Master's Thesis on 'Neural Automatic Summarization' written at the IT University of Copenhagen
User: ecly
pointer-generator,Recalculating ROUGE scores for See et al. (2017) test outputs.
User: ecly
pointer-generator,Tensorflow 2.0 implementation of the Pointer-Generator network from the "Get to the Point" article (https://arxiv.org/abs/1704.04368)
User: elingaard
pointer-generator,Pointer-Generator Networks with Different Word Embeddings for Abstractive Summarization
User: emingure
pointer-generator,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.
User: harshavkumar
pointer-generator,An Implementation of Copy Seq2Seq
User: ishalyminov
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
User: jiminsun
pointer-generator,Text Summarizer implemented in PyTorch
User: julesbelveze
pointer-generator,
User: kawaijoe
pointer-generator,The pytorch implementation of Get To The Point: Summarization with Pointer-Generator Networks.
User: laihuiyuan
Home Page: https://github.com/laihuiyuan/pointer-generator
pointer-generator,Code implementation for the Paper "Making a Point: Pointer-Generator Transformers for Disjoint Vocabularies" (https://www.aclweb.org/anthology/2020.aacl-srw.13.pdf).
Organization: nala-cub
pointer-generator,# Comparing the performance of LSTM and GRU for Text Summarization using Pointer Generator Networks
User: sajithm
pointer-generator,Datasets I have created for scientific summarization, and a trained BertSum model
User: santosh-gupta
pointer-generator,An Abstractive Summarization(for Datasets in English format) Implementation with Transformer and Pointer-generator
User: shengqiangzhang
pointer-generator, Corner stone seq2seq with attention (using bidirectional ltsm )
User: shouryashashank
pointer-generator,Multiple implementations for abstractive text summurization , using google colab
User: theamrzaki
Home Page: https://medium.com/@theamrzaki
pointer-generator,Text summarization methods introduction
User: vcccaat
pointer-generator,This repository contains the data and code for the paper "Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors" (SPNLP@ACL2022)
User: wyu-du
Home Page: http://arxiv.org/abs/2204.01227
pointer-generator,A Abstractive Summarization Implementation with Transformer and Pointer-generator
User: xiongma
pointer-generator,My seq2seq based on tensorflow
User: xueyouluo
pointer-generator,Deep Reinforcement Learning For Sequence to Sequence Models
User: yaserkl
Home Page: https://arxiv.org/abs/1805.09461
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