A Semantic Frame Graph for Information Extraction

Michał Gałusza

2023

Abstract

The following paper describes a graphical representation of a short text based on the semantic frames (the Semantic Frame Graph) using Semantic Role Labeling (SRL). It can be a foundation of alternative approach for open information extraction (OIE). The approach postprocesses the output of pretrained SRL classifier and it does not use complex rules, training sets nor significant corpus to decompose sentences. Proposed decomposition and representation reduces number of paths between entities dropping ones that are linguistically unmotivated, generates sequences of frames as paths which can be controlled using dialog coherence approach which further increases plausibility of semantic relationship between entities.

Paper Citation

in Harvard Style

Gałusza M. (2023). A Semantic Frame Graph for Information Extraction. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-626-2, pages 435-442. DOI: 10.5220/0011729300003411

in Bibtex Style

@conference{icpram23,
author={Michał Gałusza},
title={A Semantic Frame Graph for Information Extraction},
booktitle={Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2023},
pages={435-442},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011729300003411},
isbn={978-989-758-626-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - A Semantic Frame Graph for Information Extraction
SN - 978-989-758-626-2
AU - Gałusza M.
PY - 2023
SP - 435
EP - 442
DO - 10.5220/0011729300003411