Learning to Capitalize with Character-Level Recurrent Neural Networks: An Empirical Study
Raymond Hendy Susanto, Hai Leong Chieu, Wei Lu · 2016
In this paper, we investigate case restoration for text without case information.Previous such work operates at the word level.We propose an approach using character-level recurrent neural networks (RNN), which performs competitively compared to language modeling and conditional random fields (CRF) approaches.We further provide quantitative and qualitative analysis on how RNN helps improve truecasing.