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ARMAN: Pre-training with Semantically Selecting and Reordering of
  Sentences for Persian Abstractive Summarization

ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization

9 September 2021
Alireza Salemi
Emad Kebriaei
Ghazal Neisi Minaei
A. Shakery
    CVBM
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Papers citing "ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization"

4 / 4 papers shown
Title
PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for
  Translation with Semi-Supervised Pseudo-Parallel Document Generation
PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for Translation with Semi-Supervised Pseudo-Parallel Document Generation
Alireza Salemi
Amirhossein Abaskohi
Sara Tavakoli
Yadollah Yaghoobzadeh
A. Shakery
AIMat
24
0
0
03 Apr 2023
Entity-level Factual Consistency of Abstractive Text Summarization
Entity-level Factual Consistency of Abstractive Text Summarization
Feng Nan
Ramesh Nallapati
Zhiguo Wang
Cicero Nogueira dos Santos
Henghui Zhu
Dejiao Zhang
Kathleen McKeown
Bing Xiang
HILM
144
158
0
18 Feb 2021
Text Summarization with Pretrained Encoders
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
258
1,433
0
22 Aug 2019
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
1