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 methodโ€™s output for 11 languages across 18 treebanks is competitive with the other submissions to the Second Multilingual Surface Realization Shared Task (SR โ€˜19).

๐ŸŒ‰ Interdisciplinary Bridge โ€” Computer Science and Machine Learning and Mathematics & Optimization and Natural Language Processing
๐Ÿ“ˆ Trend Setter โ€” Natural Language Generation
๐Ÿงญ Keyword Pioneer โ€” topological sorting
๐Ÿ 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