FEW-SHOT LEARNING IN INDONESIAN LANGUAGE DOMAIN TEXT CLASSIFICATION
Lack of labelled data is a long-standing problem on natural language processing (NLP) field, particularly in low-resource languages, such as Indonesian. Transfer learning via pre-trained transformer-based language model (LM) has been a common approach to address this. The two most popular types of p...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/68650 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |