Leveraging ParsBERT and Pretrained mT5 for Persian Abstractive Text Summarization-Reference-Cited by-同舟云学术

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Leveraging ParsBERT and Pretrained mT5 for Persian Abstractive Text Summarization

Published:2021-03-03 Issue: Volume: Page:
ISSN:
Container-title:2021 26th International Computer Conference, Computer Society of Iran (CSICC)
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Author:

Farahani Mehrdad,Gharachorloo Mohammad,Manthouri Mohammad

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9420464/9420539/09420563.pdf?arnumber=9420563

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2. Developing a Kazakh question-answering model: standing on the shoulders of multilingual giants;2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST);2024-05-15

3. Features in extractive supervised single-document summarization: case of Persian news;Language Resources and Evaluation;2024-05-08

4. Classification and Generation of Arabic News Titles from Raw Text Based on an Encoder-Decoder Transformer Model (mT5);2024-02-26

5. Abstractive Text Summarization for the Urdu Language: Data and Methods;IEEE Access;2024

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