Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Overview of NLP-TEA 2016 Shared Task for Chinese Grammatical Error Diagnosis.
Developing learner corpus annotation for Chinese grammatical errors
Using Wikipedia Edits in Low Resource Grammatical Error Correction
Automatic Metric Validation for Grammatical Error Correction
Grammatical Error Correction with Neural Reinforcement Learning
A Neural Network Architecture for Detecting Grammatical Errors in Statistical Machine Translation
Neural Network Translation Models for Grammatical Error Correction
A Nested Attention Neural Hybrid Model for Grammatical Error Correction
Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction
Grammatical Error Correction using Neural Networks
A linguistically motivated taxonomy for Machine Translation error analysis
A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction
Generating artificial errors for grammatical error correction
Attention-based Encoder-Decoder Networks for Spelling and Grammatical Error Correction
Integrating Pinyin to Improve Spelling Errors Detection for Chinese Language
Reference-based Metrics can be Replaced with Reference-less Metrics in Evaluating Grammatical Error Correction Systems.
Reference-less Measure of Faithfulness for Grammatical Error Correction
Grammatical error prediction
Grammatical error correction using neural machine translation
Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task
Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction
Automatic OpenCL work-group size selection for multicore CPUs
Better Evaluation for Grammatical Error Correction
View Synthesis by Appearance Flow
Extending the OpenAI Gym for robotics: a toolkit for reinforcement learning using ROS and Gazebo
strategy - as - practice : a review and future directions for the field 1 .