Daniel at the FinSBD-2 task : Extracting Lists and Sentences from PDF Documents: a model-driven end-to-end approach to PDF document analysis - Archive ouverte HAL Access content directly
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Daniel at the FinSBD-2 task : Extracting Lists and Sentences from PDF Documents: a model-driven end-to-end approach to PDF document analysis

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Emmanuel Giguet
Gaël Lejeune
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Abstract

In this paper, we present the method we have designed and implemented for identifying lists and sentences in PDF documents while participating to FinSBD-2 Financial Document Analysis Shared Task. We propose a model-driven approach for the French and English datasets. It relies on a top-down process from the PDF itself in order to keep control of the workflow. Our objective is to use PDF structure extraction to improve text segment boundaries detection in an end-to-end fashion.
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Dates and versions

hal-03097523 , version 1 (05-01-2021)

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  • HAL Id : hal-03097523 , version 1

Cite

Emmanuel Giguet, Gaël Lejeune. Daniel at the FinSBD-2 task : Extracting Lists and Sentences from PDF Documents: a model-driven end-to-end approach to PDF document analysis. Second Workshop on Financial Technology and Natural Language Processing in conjunction with IJCAI-PRICAI 2020, Jan 2021, Kyoto, Japan. pp.67-74. ⟨hal-03097523⟩
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