Corpus ID: 235265639

Incorporating Visual Layout Structures for Scientific Text Classification

@article{Shen2021IncorporatingVL,
  title={Incorporating Visual Layout Structures for Scientific Text Classification},
  author={Zejiang Shen and Kyle Lo and Lucy Lu Wang and Bailey Kuehl and Daniel S. Weld and Doug Downey},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.00676}
}
Classifying the core textual components of a scientific paper—title, author, body text, etc.— is a critical first step in automated scientific document understanding. Previous work has shown how using elementary layout information, i.e., each token’s 2D position on the page, leads to more accurate classification. We introduce new methods for incorporating VIsual LAyout (VILA) structures, e.g., the grouping of page texts into text lines or text blocks, into language models to further improve… Expand

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