Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: A Gap-Based Framework for Chinese Word Segmentation via Very Deep Convolutional Networks
Neural Word Segmentation with Rich Pretraining
PHOCNet: A Deep Convolutional Neural Network for Word Spotting in Handwritten Documents
Unsupervised Segmentation Helps Supervised Learning of Character Tagging for Word Segmentation and Named Entity Recognition
Detection of Chinese Word Usage Errors for Non-Native Chinese Learners with Bidirectional LSTM
A hybrid approach to Vietnamese word segmentation
Classical Chinese Sentence Segmentation
Building Fast and Compact Convolutional Neural Networks for Offline Handwritten Chinese Character Recognition
Unsupervised Word Segmentation in Context
Contextual Dependencies In Unsupervised Word Segmentation
Text Segmentation based on Semantic Word Embeddings
dhSegment: A generic deep-learning approach for document segmentation
Drawing and Recognizing Chinese Characters with Recurrent Neural Network
Semantic Part Segmentation with Deep Learning
Deep Learning Architecture for Complex Word Identification
Chinese word segmentation
Segmentation-Free Word Embedding for Unsegmented Languages
Semi-Supervised Transfer Learning for Convolutional Neural Network Based Chinese Character Recognition
Improving Phoneme segmentation with Recurrent Neural Networks.
A Convolutional Architecture for Word Sequence Prediction
Toward Fast and Accurate Neural Discourse Segmentation
Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE study
king – denborough syndrome with and without mutations in the skeletal muscle ryanodine receptor ( < ce : italic > ryr1 < / ce : italic > ) gene .
Active AU Based Patch Weighting for Facial Expression Recognition
Management of the Cephalically Malpositioned Lower Lateral Crus in Aesthetic Rhinoplasty
A Stacked Sub-Word Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging