Semantic Role Labeling of NomBank Partitives

Adam Meyers; Advait Pravin Savant; John E. Ortega

COLING 2025main0 citations

Semantic Role Labeling of NomBank Partitives

Adam Meyers, Advait Pravin Savant, John E. Ortega

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.

BibTeX

@inproceedings{meyers-etal-2025-semantic,
    title = "Semantic Role Labeling of {N}om{B}ank Partitives",
    author = "Meyers, Adam  and
      Savant, Advait Pravin  and
      Ortega, John E.",
    editor = "Rambow, Owen  and
      Wanner, Leo  and
      Apidianaki, Marianna  and
      Al-Khalifa, Hend  and
      Eugenio, Barbara Di  and
      Schockaert, Steven",
    booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
    month = jan,
    year = "2025",
    address = "Abu Dhabi, UAE",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.coling-main.23/",
    pages = "324--336"
}