get to the point- summarization with pointer-generator networks | DSMI Lab's website
GitHub - atulkum/pointer_summarizer: pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
Just News It: Abstractive Text Summarization with a Pointer-Generator Transformer
![PDF] Transformers and Pointer-Generator Networks for Abstractive Summarization | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/46adc063c1c46e02f6457e45503cbb65495f6494/4-Figure1-1.png "PDF] Transformers and Pointer-Generator Networks for Abstractive Summarization | Semantic Scholar")
PDF] Transformers and Pointer-Generator Networks for Abstractive Summarization | Semantic Scholar
Pointer-generator network with word embedding pre-trained layer. | Download Scientific Diagram
![Pointer-generator model for abstractive text summarization [1]. | Download Scientific Diagram](https://www.researchgate.net/publication/326949636/figure/fig2/AS:870806976487424@1584627970239/Pointer-generator-model-for-abstractive-text-summarization-1.jpg "Pointer-generator model for abstractive text summarization [1]. | Download Scientific Diagram")
Pointer-generator model for abstractive text summarization [1]. | Download Scientific Diagram
Get To The Point: Summarization with Pointer-Generator Networks
GitHub - abisee/pointer-generator: Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
Pointer over Attention: An Improved Bangla Text Summarization Approach Using Hybrid Pointer Generator Network: Paper and Code - CatalyzeX
Topic-aware Pointer-Generator Networks for Summarizing Spoken Conversations | DeepAI
![PDF] Get To The Point: Summarization with Pointer-Generator Networks | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/668db48c6a79826456341680ee1175dfc4cced71/7-Figure4-1.png "PDF] Get To The Point: Summarization with Pointer-Generator Networks | Semantic Scholar")
PDF] Get To The Point: Summarization with Pointer-Generator Networks | Semantic Scholar
Get To The Point: Summarization with Pointer-Generator Networks
arXiv:1906.01749v3 [cs.CL] 19 Jun 2019
![PDF] MAPGN: Masked Pointer-Generator Network for Sequence-to-Sequence Pre-Training | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/57bef093c66e592918d63837e5a751484a0244d6/2-Figure1-1.png "PDF] MAPGN: Masked Pointer-Generator Network for Sequence-to-Sequence Pre-Training | Semantic Scholar")
PDF] MAPGN: Masked Pointer-Generator Network for Sequence-to-Sequence Pre-Training | Semantic Scholar
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives on Vimeo
Get To The Point: Summarization with Pointer- Generator Networks (ACL 2017)
Pointer-generator model. The vocabulary distribution and attention... | Download Scientific Diagram
Improving Pointer-Generator Network with Keywords Information for Chinese Abstractive Summarization | SpringerLink
Get To The Point: Summarization with Pointer-Generator Networks - YouTube
Text Summarization Samuel Sunarjo. - ppt download
GitHub - 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
Making a Point: Pointer-Generator Transformers for Disjoint Vocabularies - ACL Anthology
![Model of pointer-generator network [10]. | Download Scientific Diagram](https://www.researchgate.net/publication/337014455/figure/fig2/AS:821694230953985@1572918579850/Model-of-pointer-generator-network-10.png "Model of pointer-generator network [10]. | Download Scientific Diagram")
Model of pointer-generator network [10]. | Download Scientific Diagram
Abigail See - 2017 - Get To The Point: Summarization with Pointer-Gen…
![PDF] Making a Point: Pointer-Generator Transformers for Disjoint Vocabularies | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/3b618878525c8bb5ea64c84cd16b902c29ccfea2/1-Figure1-1.png "PDF] Making a Point: Pointer-Generator Transformers for Disjoint Vocabularies | Semantic Scholar")
PDF] Making a Point: Pointer-Generator Transformers for Disjoint Vocabularies | Semantic Scholar
