Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network
High-order Graph-based Neural Dependency Parsing
The Inside-Outside Recursive Neural Network model for Dependency Parsing
Greedy Transition-Based Dependency Parsing with Stack LSTMs
Deep Biaffine Attention for Neural Dependency Parsing
Simple Semi-supervised Dependency Parsing
An improved neural network model for joint POS tagging and dependency parsing
A non-projective greedy dependency parser with bidirectional LSTMs
Vine Pruning for Efficient Multi-Pass Dependency Parsing
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Deep Learning of Graphs with Ngram Convolutional Neural Networks
Non-Projective Dependency Parsing Using Spanning Tree Algorithms
Efficient convolution kernels for dependency and constituent syntactic trees
Joint POS Tagging and Dependence Parsing With Transition-Based Neural Networks
A Fundamental Algorithm for Dependency Parsing
Easy-First Dependency Parsing with Hierarchical Tree LSTMs
Online Large-Margin Training Of Dependency Parsers
Algorithms for Deterministic Incremental Dependency Parsing
Incremental Recurrent Neural Network Dependency Parser with Search-based Discriminative Training
Human Parsing with Contextualized Convolutional Neural Network.
Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
Efficient Estimation of Word Representations in Vector Space
Research assessment by percentile-based double rank analysis
rasr - the rwth aachen university open source speech recognition toolkit .
The Randomized Dependence Coefficient
Biophysical mechanisms complementing "classical" cell biology.