Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Confusion Network Based Recurrent Neural Network Language Modeling for Chinese OCR Error Detection
A Chinese OCR spelling check approach based on statistical language models
Improving the training and evaluation efficiency of recurrent neural network language models
OCR performance prediction using cross-OCR alignment
Optical Character Recognition (OCR) for Printed Devnagari Script Using Artificial Neural Network
Adapting the Tesseract open source OCR engine for multilingual OCR
A Comparison of Sequence-Trained Deep Neural Networks and Recurrent Neural Networks Optical Modeling for Handwriting Recognition
Improved optical character recognition with deep neural network
Clear-cut methodology for Arabic OCR and post-correction with low technical skilled annotators
Character-level Convolutional Network for Text Classification Applied to Chinese Corpus
IJCNLP-2017 Task 1: Chinese Grammatical Error Diagnosis
Performance evaluation of two Arabic OCR products
Image Preprocessing for Improving OCR Accuracy
Comparative Analysis of Raw Images and Meta Feature based Urdu OCR using CNN and LSTM
Handwritten Chinese character recognition with spatial transformer and deep residual networks
A Chinese Handwriting Education System with Automatic Error Detection
optical character recognition using hidden markov models .
Auxiliary Objectives for Neural Error Detection Models
Optical character recognition for model-based object recognition applications
Overview of NLP-TEA 2016 Shared Task for Chinese Grammatical Error Diagnosis.
End-to-end text recognition with convolutional neural networks
Autism spectrum disorders and autistic traits: A decade of new twin studies
A Logistic Regression Approach to Ad Click Prediction
Maximum Entropy Confidence Estimation for Speech Recognition
Kingfisher: an efficient algorithm for searching for both positive and negative dependency rules with statistical significance measures
VELNET (Virtual Environment for Learning Networking)