Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Design Challenges and Misconceptions in Neural Sequence Labeling
Empower Sequence Labeling with Task-Aware Neural Language Model
dynamic evaluation of neural sequence models .
Neural Monkey: An Open-source Tool for Sequence Learning
Investigating Loss Functions And Optimization Methods For Discriminative Learning Of Label Sequences
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Compositional Sequence Labeling Models for Error Detection in Learner Writing
Bi-directional LSTM-CNNs-CRF for Italian Sequence Labeling
A brief survey on sequence classification
An empirical study of discriminative sequence labeling models for Vietnamese text processing
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Adversarial Neural Networks for Cross-lingual Sequence Tagging
Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks
Semi-supervised sequence tagging with bidirectional language models
Multi-task Sequence to Sequence Learning
Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks
Neural Lattice-to-Sequence Models for Uncertain Inputs
From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction
Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping
A conversational intelligent tutoring system to automatically predict learning styles
Optimal training design for MIMO OFDM systems in mobile wireless channels
Maximum Power Point Tracking for PV system under partial shading condition via particle swarm optimization
Group sparse coding with a laplacian scale mixture prior