Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Reranking And Self-Training For Parser Adaptation
Coarse-To-Fine N-Best Parsing And MaxEnt Discriminative Reranking
Approaches for Neural-Network Language Model Adaptation
A Linear-Time Bottom-Up Discourse Parser with Constraints and Post-Editing
Optimal Shift-Reduce Constituent Parsing with Structured Perceptron
Effective Inference for Generative Neural Parsing
Density-Driven Cross-Lingual Transfer of Dependency Parsers
Parameter sharing between dependency parsers for related languages
Accurate Dependency Parsing with a Stacked Multilayer Perceptron
A PDTB-Styled End-to-End Discourse Parser
Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers
Breaking Sticks and Ambiguities with Adaptive Skip-gram
Domain Adaptation of Natural Language Processing Systems
A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing
Bootstrapping Parsers via Syntactic Projection across Parallel Texts
Head-Driven Statistical Models for Natural Language Parsing
Improving Sequence-to-Sequence Constituency Parsing
Deep Multitask Learning for Semantic Dependency Parsing
Improved neural network based language modelling and adaptation
An Analysis of Language-Level Support for Self-Adaptive Software
A Deep Architecture for Semantic Parsing
Noncoherent mmWave Path Tracking
Training a Ranking Function for Open-Domain Question Answering
Morphological changes of the hair roots in alopecia areata: a scanning electron microscopic study.
Color Based Object Recognition
Inducing Features of Random Fields