Improving Persian Named Entity Recognition Through Multi Task Learning
Named Entity Recognition is a challenging task, specially for low resource languages, such as Persian, due to the lack of massive gold data. As developing manually-annotated datasets is time consuming and expensive, we use a multitask learning (MTL) framework to exploit different datasets to enrich...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Iran Telecom Research Center
2021-06-01
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| Series: | International Journal of Information and Communication Technology Research |
| Subjects: | |
| Online Access: | http://ijict.itrc.ac.ir/article-1-483-en.html |