Improving the Readability of Unformatted Text using Multitask Attention Networks

2021 13th International Conference on Knowledge and Systems Engineering (KSE)(2021)

Cited 0|Views2
No score
Abstract
Unformatted text is a big obstacle to human reading and degrades the performance of many downstream language understanding tasks. To improve the readability, this paper proposes a multitask deep neural model to restore format standards including punctuation and capitalization. Unlike prior research which usually solved a single task or many tasks separately, our model employs multitask learning to...
More
Translated text
Key words
Knowledge engineering,Data analysis,Navigation,Predictive models,Encoding,Convolutional neural networks,Modeling
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined