3 papers
cs.CL2019
Discourse Level Factors for Sentence Deletion in Text Simplification
Yang Zhong, Chao Jiang, Wei Xu +1
This paper presents a data-driven study focusing on analyzing and predicting sentence deletion -- a prevalent but understudied phenomenon in document simplification -- on a large E…
cs.CL2018
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
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…