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Computer Science > Computation and Language

arXiv:2208.06040 (cs)
[Submitted on 11 Aug 2022]

Title:Figure Descriptive Text Extraction using Ontological Representation

Authors:Gilchan Park, Julia Rayz, Line Pouchard
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Abstract:Experimental research publications provide figure form resources including graphs, charts, and any type of images to effectively support and convey methods and results. To describe figures, authors add captions, which are often incomplete, and more descriptions reside in body text. This work presents a method to extract figure descriptive text from the body of scientific articles. We adopted ontological semantics to aid concept recognition of figure-related information, which generates human- and machine-readable knowledge representations from sentences. Our results show that conceptual models bring an improvement in figure descriptive sentence classification over word-based approaches.
Comments: The Thirty-Third International Florida Artificial Intelligence Research Society Conference (FLAIRS-33)
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
Cite as: arXiv:2208.06040 [cs.CL]
  (or arXiv:2208.06040v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2208.06040

Submission history

From: Gilchan Park [view email]
[v1] Thu, 11 Aug 2022 21:09:58 UTC (615 KB)
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