4 citations · 9 across the 8 of their papers we have counts for
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cs.CL2023
Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained Datasets
Su Ah Lee, Seokjin Oh, Woohwan Jung
Named Entity Recognition (NER) frequently suffers from the problem of insufficient labeled data, particularly in fine-grained NER scenarios. Although -shot learning techniques c…
cs.CL2023★ 4 cited
Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models
Jaeyoung Choe, Keonwoong Noh, Nayeon Kim +2
Over the past few years, various domain-specific pretrained language models (PLMs) have been proposed and have outperformed general-domain PLMs in specialized areas such as biomedi…
cs.CL2023★ 3 cited
Data Augmentation for Neural Machine Translation using Generative Language Model
Seokjin Oh, Su Ah Lee, Woohwan Jung
Despite the rapid growth in model architecture, the scarcity of large parallel corpora remains the main bottleneck in Neural Machine Translation. Data augmentation is a technique t…