2018
EMNLP
EMNLP 2018
Syntactic Scaffolds for Semantic Structures
Abstract
AbstractWe introduce the syntactic scaffold, an approach to incorporating syntactic information into semantic tasks. Syntactic scaffolds avoid expensive syntactic processing at runtime, only making use of a treebank during training, through a multitask objective. We improve over strong baselines on PropBank semantics, frame semantics, and coreference resolution, achieving competitive performance on all three tasks.
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Interdisciplinary Bridge
— Deep Learning and Machine Learning and Natural Language Processing
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Keyword Pioneer
— syntactic scaffold
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Natural Language Processing > Understanding > Coreference Resolution
Natural Language Processing > Understanding > Semantic Analysis
Machine Learning > Learning Types > Multi-Task Learning
Natural Language Processing > Applications > Semantic Parsing
Deep Learning > Learning Types > Multi-Task Learning