Markus Dreyer
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Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints
Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters
Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization
Transductive Learning for Abstractive News Summarization
Multi-Task Networks with Universe, Group, and Task Feature Learning
Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding
Transfer Learning for Neural Semantic Parsing
Zero-Shot Learning Across Heterogeneous Overlapping Domains
Modes Wheel
LatticeRnn: Recurrent Neural Networks Over Lattices
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