Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: NeuroNER: an easy-to-use program for named-entity recognition based on neural networks
Neural Architectures for Named Entity Recognition
An Empirical Study on Fine-Grained Named Entity Recognition
A Survey of Named Entity Recognition and Classification
Aggregating Machine Learning and Rule Based Heuristics for Named Entity Recognition
Nested Named Entity Recognition
Dynamic Transfer Learning for Named Entity Recognition
Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media
Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings
Proactive Learning for Named Entity Recognition
Named Entity Recognition With A Maximum Entropy Approach
Multi-domain evaluation framework for named entity recognition tools
Analysing Wikipedia and Gold-Standard Corpora for NER Training
Design Challenges and Misconceptions in Named Entity Recognition
A Multilevel NER Framework for Automatic Clinical Name Entity Recognition
Named Entity Recognition with Bidirectional LSTM-CNNs
A deep network based integrated model for disease named entity recognition
Using Stanford NER and Illinois NER to Detect Malay Named Entity Recognition
Deep learning with word embeddings improves biomedical named entity recognition
Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition
Recent Named Entity Recognition and Classification techniques: A systematic review
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Validated Spectral Angle Mapper Algorithm for Geological Mapping : Comparative Study between Quickbird and Landsat-TM
Diabetic Macular Edema Pathophysiology: Vasogenic versus Inflammatory
Y chromosome STR haplotypes and the genetic structure of U.S. populations of African, European, and Hispanic ancestry.
Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction.