ParsBERT is evaluated on three NLP downstream tasks: Sentiment Analysis (SA), Text Classification, and Named Entity Recognition (NER). For this matter and due ...

ParsBERT is a monolingual language model based on Google's BERT architecture. This model is pre-trained on large Persian corpora with various writing styles ...

May 27, 2020 · We're on a journey to advance and democratize artificial intelligence through open source and open science.

This task aims to extract named entities in the text, such as names and label with appropriate NER classes such as locations, organizations, etc. The datasets ...

BERT base model (uncased). Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in this paper and first ...

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ParsBERT is a monolingual language model based on Google's BERT architecture. This model is pre-trained on large Persian corpora with various writing styles ...

We're on a journey to advance and democratize artificial intelligence through open source and open science.

Sep 12, 2020 · You can use this Colab to fine-tuning your dataset based on the text classification tasks. For other down-stream tasks, I'm afraid to say ...