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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

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021

9 September 2021

Ghazal Neisi Minaei

ArXiv (abs)PDF HTML

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

2 / 2 papers shown

ARLED: Leveraging LED-based ARMAN Model for Abstractive Summarization of Persian Long Documents

Samira Zangooei

Amirhossein Darmani

Hossein Farahmand Nezhad

217

1

0

13 Mar 2025

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

Amirhossein Abaskohi

Yadollah Yaghoobzadeh

221

0

0

03 Apr 2023