Search Results for author:
Found 6 papers, 0 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.
DPRK-BERT: The Supreme Language Model
We achieve this by compiling the first unlabeled corpus for the DPRK language and fine-tuning a preexisting the ROK language model.
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.
Overview of CLEF 2019 Lab ProtestNews: Extracting Protests from News in a Cross-context Setting
We present an overview of the CLEF-2019 Lab ProtestNews on Extracting Protests from News in the context of generalizable natural language processing.
Research on Task Discovery for Transfer Learning in Deep Neural Networks
Deep neural network based machine learning models are shown to perform poorly on unseen or out-of-domain examples by numerous recent studies.
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.
