Papers by Najmeh Zare
DadmaTools: Natural Language Processing Toolkit for Persian Language (2022.naacl-demo)
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| Challenge: | Existing tools for Persian language processing are based on conventional non-neural models and do not take full advantage of the latest developments. |
| Approach: | They propose to use a Python neural pipeline for Persian text processing tasks . they use 'parsBERT' to fine-tune the Python pipeline using the PerDT dataset . |
| Outcome: | The proposed toolkit can achieve state-of-the-art performance on multiple NLP tasks. |