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 method’s output for 11 languages across 18 treebanks is competitive with the other submissions to the Second Multilingual Surface Realization Shared Task (SR ‘19).
🌉
Interdisciplinary Bridge
- Artificial Intelligence and Computer Science and Mathematics & Optimization and Natural Language Processing
📈
Trend Setter
- Natural Language Generation
Authors
Topics
Machine Learning > Optimization & Theory > Optimization
Mathematics & Optimization > Mathematics > Graph Theory
Computer Science > Foundations > Algorithms
Computer Science > Foundations > Formal Languages
Mathematics & Optimization > Optimization > Discrete Optimization
Natural Language Processing > Applications > Semantic Parsing
Natural Language Processing > Applications > Natural Language Generation