2019
EMNLP
EMNLP 2019
DepDist: Surface realization via regex and learned dependency-distance tolerance
Abstract
AbstractThis paper describes a method of inflecting and linearizing a lemmatized dependency tree by: (1) determining a regular expression and substitution to describe each productive wordform rule; (2) learning the dependency distance tolerance for each head-dependent pair, resulting in an edge-weighted directed acyclic graph (DAG); and (3) topologically sorting the DAG into a surface realization based on edge weight. The methodโs output for 11 languages across 18 treebanks is competitive with the other submissions to the Second Multilingual Surface Realization Shared Task (SR โ19).
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Interdisciplinary Bridge
โ Computer Science and Machine Learning and Mathematics & Optimization and Natural Language Processing
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Trend Setter
โ Natural Language Generation
๐งญ
Keyword Pioneer
โ topological sorting
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Cross-Pollinator
โ 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, Security & Privacy, Speech & Audio
Authors
Topics
Mathematics & Optimization > Mathematics > Graph Theory
Computer Science > Foundations > Algorithms
Computer Science > Foundations > Formal Languages
Mathematics & Optimization > Optimization > Discrete Optimization
Machine Learning > Core Methods > Optimization
Natural Language Processing > Applications > Semantic Parsing
Natural Language Processing > Applications > Natural Language Generation