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Content available Improving Logical Structure Analysis of Visually Structured Documents with Textual Features
Le Huu-Loi, Trong Nghia Luu, Thanh Huyen Ngo
Annals of Computer Science and Information Systems
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2022
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Vol. 33
151--156
EN
This paper introduces a new model to improve the quality of logical structure analysis of visually structured documents. To do that, we extend the model of Koreeda and Manning [1]. In order to enhance textual features, we define a new feature that uses the font size of texts as an indicator. As our observation, the font size is an important indicator that can be used to represent the structure of a document. The new font size feature is combined with visual, textual, and semantic features for training an analyzer. Experimental results on four legal datasets show that the new font size feature contributes to the model and helps to improve the F-scores. The ablation study also shows the contribution of each feature in our model.
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