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Found 4 papers, 1 papers with code
Developing Language Resources and NLP Tools for the North Korean Language
We use the dataset to train a BERT-based language model, DPRK-BERT.
Communication Cost Reduction for Subgraph Counting under Local Differential Privacy via Hash Functions
We suggest the use of hash functions to cut down the communication costs when counting subgraphs under edge local differential privacy.
Analyzing the Effect of Multi-task Learning for Biomedical Named Entity Recognition
Besides, we propose combining transfer learning and multi-task learning to improve the performance of biomedical named entity recognition systems, which is not applied before to the best of our knowledge.
Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology
In this study, we propose using subword contextual embeddings to capture the morphological information for languages with rich morphology.
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