7 citations · 19 across the 10 of their papers we have counts for
Showing 2018Show all
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cs.CL2018★ 1 cited
LearningWord Embeddings for Low-resource Languages by PU Learning
Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh +1
Word embedding is a key component in many downstream applications in processing natural languages. Existing approaches often assume the existence of a large collection of text for…
cs.CL2018★ 7 cited
Multi-task Learning for Universal Sentence Embeddings: A Thorough Evaluation using Transfer and Auxiliary Tasks
Wasi Uddin Ahmad, Xueying Bai, Zhechao Huang +3
Learning distributed sentence representations is one of the key challenges in natural language processing. Previous work demonstrated that a recurrent neural network (RNNs) based s…