Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Universal Dependencies for Learner English
Universal Stanford dependencies: A cross-linguistic typology
Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data
Dependency Parsing with LSTMs: An Empirical Evaluation
Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set
Context and learner modelling for the mobile foreign language learner
Spanning Tree Methods for Discriminative Training of Dependency Parsers
Tense and Aspect Error Correction for ESL Learners Using Global Context
Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser
Multi-Source Transfer of Delexicalized Dependency Parsers
Multi-task Learning for Universal Sentence Representations: What Syntactic and Semantic Information is Captured?
Parsing to stanford dependencies: Trade-offs between speed and accuracy
The AMARA Corpus: Building Parallel Language Resources for the Educational Domain
Learning in Natural Language
Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder
ELMoLex: Connecting ELMo and Lexicon Features for Dependency Parsing
Deep Multitask Learning for Semantic Dependency Parsing
A Universal Part-of-Speech Tagset
Universal Dependencies for Finnish
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
An Empirical Comparison of Parsing Methods for Stanford Dependencies
Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
digit ratio ( 2 d : 4 d ) and cattell ’ s personality traits .
Event Composition with Imperfect Information for Bus Surveillance
Stream Compilation for Real-Time Embedded Multicore Systems
Factorizing LambdaMART for cold start recommendations