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2017 CONLL CoNLL 2017

A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling

🌉 Interdisciplinary Bridge — Artificial Intelligence and Deep Learning and Natural Language Processing
📈 Trend Setter — Semantic Analysis
🧭 Keyword Pioneer — syntax-agnostic model
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Deep Learning, Healthcare & Medicine, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Speech & Audio
🐣 Hot Topic Early Bird — semantic role labeling

Authors

Diego Marcheggiani , Anton Frolov , Ivan Titov

Topics

Deep Learning > Architectures > Neural Networks Natural Language Processing Natural Language Processing > Understanding > Semantic Analysis Natural Language Processing > Understanding > Syntax Artificial Intelligence > Core AI > Reasoning Natural Language Processing > Applications > Semantic Parsing

Keywords

dependency parsing semantic role labeling bidirectional lstm predicate-argument structure syntax-agnostic model predicate-argument dependency
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