arXiv · 2412.14328
Semantic Role Labeling of NomBank Partitives
Abstract
This article is about Semantic Role Labeling for English partitive nouns (5%/REL of the price/ARG1; The price/ARG1 rose 5 percent/REL) in the NomBank annotated corpus. Several systems are described using traditional and transformer-based machine learning, as well as ensembling. Our highest scoring system achieves an F1 of 91.74% using "gold" parses from the Penn Treebank and 91.12% when using the Berkeley Neural parser. This research includes both classroom and experimental settings for system development.
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Adam Meyers, Advait Pravin Savant, John E. Ortega. 2024-12-20. Semantic Role Labeling of NomBank Partitives. https://arxiv.org/abs/2412.14328
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