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Abstractive and Extractive Text Summarization using Document Context
  Vector and Recurrent Neural Networks

Abstractive and Extractive Text Summarization using Document Context Vector and Recurrent Neural Networks

20 July 2018
Chandra Khatri
Gyanit Singh
Nish Parikh
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Papers citing "Abstractive and Extractive Text Summarization using Document Context Vector and Recurrent Neural Networks"

3 / 3 papers shown
Title
Combining State-of-the-Art Models with Maximal Marginal Relevance for
  Few-Shot and Zero-Shot Multi-Document Summarization
Combining State-of-the-Art Models with Maximal Marginal Relevance for Few-Shot and Zero-Shot Multi-Document Summarization
David Adams
Gandharv Suri
Yllias Chali
VLM
24
3
0
19 Nov 2022
Topic-Centric Unsupervised Multi-Document Summarization of Scientific
  and News Articles
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles
Amanuel Alambo
Cori Lohstroh
Erik Madaus
Swati Padhee
Brandy Foster
Tanvi Banerjee
K. Thirunarayan
M. Raymer
22
15
0
03 Nov 2020
SummaRuNNer: A Recurrent Neural Network based Sequence Model for
  Extractive Summarization of Documents
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati
Feifei Zhai
Bowen Zhou
207
1,254
0
14 Nov 2016
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