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

Alireza Salemi, Emad Kebriaei, Ghazal Neisi Minaei, Azadeh Shakery
2021 arXiv   pre-print
Abstractive text summarization is one of the areas influenced by the emergence of pre-trained language models.  ...  Current pre-training works in abstractive summarization give more points to the summaries with more words in common with the main text and pay less attention to the semantic similarity between generated  ...  Acknowledgements We would like to thank the anonymous reviewers for their thoughtful and constructive comments.  ... 
arXiv:2109.04098v1 fatcat:ug524qlyw5afzpxkwgljbtd25u

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

Alireza Salemi, Emad Kebriaei, Ghazal Neisi Minaei, Azadeh Shakery
2021 Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing   unpublished
Abstractive text summarization is one of the areas influenced by the emergence of pre-trained language models.  ...  Current pre-training works in abstractive summarization give more points to the summaries with more words in common with the main text and pay less attention to the semantic similarity between generated  ...  Acknowledgements We would like to thank the anonymous reviewers for their thoughtful and constructive comments.  ... 
doi:10.18653/v1/2021.emnlp-main.741 fatcat:pw3jcvsqpra5pmsxt2cclex65y

Online and Offline Examinations of Constituent Order in Persian Ditransitives [article]

Elias Abdollahnejad, University Of Calgary, Dennis Ryan Storoshenko
2020
by a single process with two possible stages (a Merge and a Move operation).  ...  The unclear results of the survey are used as an argument for motivating online methods to investigate the case of ordering variation in Persian ditransitives.  ...  The allocation of memory resources during sentence comprehension: evidence from the elderly.  ... 
doi:10.11575/prism/37938 fatcat:zkdzvnk2mba57hpdz66elxtfga