Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Concise Integer Linear Programming Formulations for Dependency Parsing
Three New Probabilistic Models For Dependency Parsing: An Exploration
Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
Greedy Transition-Based Dependency Parsing with Stack LSTMs
Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data
Attention-based Belief or Disbelief Feature Extraction for Dependency Parsing
It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool
Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser
LLparse and LRparse: visual and interactive tools for parsing
A Shift-Reduce Parsing Algorithm for Phrase-based String-to-Dependency Translation
Process Discovery using Integer Linear Programming
Dynamic Programming for Linear-Time Incremental Parsing
Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network
Dependency Parsing with Partial Annotations: An Empirical Comparison
Memo No . 082 May 10 , 2018 Scene Graph Parsing as Dependency Parsing
Improving Arabic Dependency Parsing with Lexical and Inflectional Morphological Features
LSTM Feature Representation in Projective and Non-Projective Transition-Based Dependency Parsers
Transition-based Dependency Parsing with Rich Non-local Features
Tailoring Continuous Word Representations for Dependency Parsing
Formalism-Independent Parser Evaluation with CCG and DepBank
Shift-Reduce Constituency Parsing with Dynamic Programming and POS Tag Lattice
Superneurons: dynamic GPU memory management for training deep neural networks
Do bisphosphonates affect bone healing? A meta-analysis of randomized controlled trials
The Deconfounded Recommender: A Causal Inference Approach to Recommendation
Max-Margin Markov Networks
CNN-PS: CNN-based Photometric Stereo for General Non-Convex Surfaces