Daniel at the FinSBD-2 Task: Extracting List and Sentence Boundaries from PDF Documents, a model-driven approach to PDF document analysis - Archive ouverte HAL Access content directly
Proceedings Year : 2021

Daniel at the FinSBD-2 Task: Extracting List and Sentence Boundaries from PDF Documents, a model-driven approach to PDF document analysis

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 SharedTask. 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.
No file

Dates and versions

hal-02927304 , version 1 (01-09-2020)

Identifiers

  • HAL Id : hal-02927304 , version 1

Cite

Emmanuel Giguet, Gaël Lejeune. Daniel at the FinSBD-2 Task: Extracting List and Sentence Boundaries from PDF Documents, a model-driven approach to PDF document analysis: Proceedings of the Second Workshop on Financial Technology and Natural Language Processing. https://aclanthology.org/2020.finnlp-1.11/, pp.67-74, 2021, Proceedings of the Second Workshop on Financial Technology and Natural Language Processing. ⟨hal-02927304⟩
64 View
0 Download

Share

Gmail Facebook X LinkedIn More