JSAI2024

Presentation information

Organized Session

Organized Session » OS-12

[3M5-OS-12b] OS-12

Thu. May 30, 2024 3:30 PM - 4:50 PM Room M (Room 53)

オーガナイザ:木村 泰知(小樽商科大学)、小川 泰弘(名古屋市立大学)、渋木 英潔(BESNA研究所)、高丸 圭一(宇都宮共和大学)、内田 ゆず(北海学園大学)、乙武 北斗(福岡大学)、秋葉 友良(豊橋技術科学大学)、門脇 一真(株式会社日本総合研究所)、小林 暁雄(国立研究開発法人農業・食品産業技術総合研究機構 農業情報研究センター)

4:10 PM - 4:30 PM

[3M5-OS-12b-03] Approaching Cell Classification of Machine-Unreadable Tables in Annual Security Reports

〇Riku Maeda1, Kazuki Okuyama1, Eisaku Sato1, Yasutomo Kimura1 (1. Otaru University of Commerce)

Keywords:Annual Securities Reports, Table Data, Cell Classification

This study focuses on tables that are difficult to machine read, and cell classification of tables contained in annual securities reports.
TDE (Table Data Extraction), a subtask of NTCIR-17 UFO, excluded tables that were difficult to machine read.
These machine-readable difficult tables are classified into five categories: ``tables containing subheading lines," ``tables with multiple headers and attributes," ``tables containing blank cells," ``tables containing non-scalar cells," and "tables with special shapes.
This paper presents the extent to which cell classification can be performed on these difficult tables using common methods, and clarifies the difficulty level of the task.

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