1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CL2020★ 1 cited
Showing Your Work Doesn't Always Work
Raphael Tang, Jaejun Lee, Ji Xin +3
In natural language processing, a recently popular line of work explores how to best report the experimental results of neural networks. One exemplar publication, titled "Show Your…
cs.CL2018
Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data
Hao Li, Yang Wang, Xinyu Liu +2
We propose a nested recurrent neural network (nested RNN) model for English spelling error correction and generate pseudo data based on phonetic similarity to train it. The model f…