marbert

UBC ARBERT and MARBERT Deep Bidirectional Transformers for Arabic
https://github.com/UBC-NLP/marbert

Last synced: 14 days ago
JSON representation

2. Our Benchmark: ArBench
- 2.1 Sentiment Analysis
  - Alomari et al. (2017) - | 361 |
  - Al-Twairesh et al. (2017)
  - Elmadany et al. (2018) - | 3.6K |
  - Baly et al. (2019) - LEV (5) | 3.2K | - | 801 |
  - Nabil et al. (2015) - B (2) | 1.06K | - | 267 |
  - Abdul-Mageed and Diab (2012)
  - Salameh et al. (2015)
  - Elnagar et al. (2018) - | 21.1K |
  - Nabil et al. (2015)
  - Abdul-Mageed and Diab (2014)
  - Rosenthal et al. (2017) - | 6.10K |
  - Abdullah et al. (2013)
  - Abdul-Mageed et al. (2020b)
  - Abu Farha and Magdy (2017) - | 2.K |
  - Nabil et al. (2015) - B (2) | 1.06K | - | 267 |
  - Abdul-Mageed and Diab (2012)
  - Salameh et al. (2015)
  - Nabil et al. (2015)
  - Rosenthal et al. (2017) - | 6.10K |
  - Al-Twairesh et al. (2017)
- 2.2 Social Meaning
  - Abdul-Mageed et al. (2020b)
  - Abu Farha and Magdy (2017) - | 2.1K |
  - Alshehri et al. (2020a)
  - Ghanem et al. (2019) - | 404 |
  - Mubarak et al. (2020) - B - (2) | 10K | 1K | 2K |
  - Zaghouani and Charfi (2018) - Tweet (2) | 1.28M | 160K | 160K |
  - Alshehri et al. (2020a)
- 2.3 Topic Classification
- 2.4 Dialect Identification
  - Zaidan and Callison-Burch (2014)
  - Bouamor et al. (2019) - TL (21) | Country | 193K | 26.6K | 43.9K |
  - Abdul-Mageed et al. (2020)
  - Abdelali et al. (2020) - | 3.5K |
  - Zaidan and Callison-Burch (2014)
- 2.5 Named Entity Recogntion
  - Benajiba and Rosso (2007)
  - Mitchell et al. (2005) - 2004BN | 70K | 3.20K | 3.92K | 2.23K |
  - Darwish (2013) - NER | 81K | 1.25K | 1.30K | 765 |
  - Benajiba and Rosso (2007)
  - Mitchell et al. (2004) - 2003NW | 27K | 1.14K | 1.14K | 893 |
4. How to use ARBERT and MARBERT
- 4.2 Example: Fine-tuning MARBERT for Sentiment Analysis
  - ![Open In Colab
3 Model Evaluation
- 2.5 Named Entity Recogntion
  - paper
5. Ethics
- 4.2 Example: Fine-tuning MARBERT for Sentiment Analysis
  - Twitter policy - terms/more-on-restricted-use-cases):
6. Download ARBERT and MARBERT Checkpoints
- Sensitive information
  - Download - NLP/ARBERT/resolve/main/ARBERT_tensorflow_version.tar.gz) |
  - Download - NLP/MARBERT/resolve/main/MARBERT_tensorflow_version.tar.gz) |
1.1 ARBERT & MARBERT
- repo

Programming Languages

Python 1

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Awesome

marbert

2. Our Benchmark: ArBench

2.1 Sentiment Analysis

2.3 Topic Classification

2.4 Dialect Identification

2.5 Named Entity Recogntion

4. How to use ARBERT and MARBERT

4.2 Example: Fine-tuning MARBERT for Sentiment Analysis

3 Model Evaluation

2.5 Named Entity Recogntion

5. Ethics

4.2 Example: Fine-tuning MARBERT for Sentiment Analysis

6. Download ARBERT and MARBERT Checkpoints

Sensitive information

1.1 ARBERT & MARBERT

marbert

2. Our Benchmark: ArBench

2.1 Sentiment Analysis

2.2 Social Meaning

2.3 Topic Classification

2.4 Dialect Identification

2.5 Named Entity Recogntion

4. How to use ARBERT and MARBERT

4.2 Example: Fine-tuning MARBERT for Sentiment Analysis

3 Model Evaluation

2.5 Named Entity Recogntion

5. Ethics

4.2 Example: Fine-tuning MARBERT for Sentiment Analysis

6. Download ARBERT and MARBERT Checkpoints

Sensitive information

1.1 ARBERT & MARBERT