252 citations · 658 across the 50 of their papers we have counts for
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cs.CL2019
Learning to Learn Words from Visual Scenes
Dídac Surís, Dave Epstein, Heng Ji +2
Language acquisition is the process of learning words from the surrounding scene. We introduce a meta-learning framework that learns how to learn word representations from unconstr…
cs.CL2019★ 4 cited
Low-Resource Name Tagging Learned with Weakly Labeled Data
Yixin Cao, Zikun Hu, Tat-Seng Chua +2
Name tagging in low-resource languages or domains suffers from inadequate training data. Existing work heavily relies on additional information, while leaving those noisy annotatio…
cs.CL2019★ 3 cited
Raw-to-End Name Entity Recognition in Social Media
Liyuan Liu, Zihan Wang, Jingbo Shang +5
Taking word sequences as the input, typical named entity recognition (NER) models neglect errors from pre-processing (e.g., tokenization). However, these errors can influence the m…