Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: A Knowledge-Augmented Neural Network Model for Implicit Discourse Relation Classification
A Systematic Study of Neural Discourse Models for Implicit Discourse Relation.
On the Need of Cross Validation for Discourse Relation Classification
Combining Word-Level and Character-Level Representations for Relation Classification of Informal Text
Bidirectional Long Short-Term Memory Networks for Relation Classification
Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification
Neural Discourse Structure for Text Categorization
Simple Customization of Recursive Neural Networks for Semantic Relation Classification
Supervised Neural Models Revitalize the Open Relation Extraction
Neural Net Models for Open-Domain Discourse Coherence
Easily Identifiable Discourse Relations
Task-Oriented Learning of Word Embeddings for Semantic Relation Classification
A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse
Learning Multi-Relational Semantics Using Neural-Embedding Models
Combining Neural Networks and Log-linear Models to Improve Relation Extraction
Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings
Neural Relational Learning Through Semi-Propositionalization of Bottom Clauses
Recurrent Convolutional Neural Networks for Discourse Compositionality
End-to-end Relation Extraction using Neural Networks and Markov Logic Networks
An exploration of semantic relations in neural word embeddings using extrinsic knowledge
Joint Modeling of Content and Discourse Relations in Dialogues
Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base
Minutiae feature analysis for infrared hand vein pattern biometrics
Performance of Biometric Quality Measures
Large-scale storage and query processing for semantic sensor data
Dynamic description logic model for data integration