A document layout system using automatic document architecture extraction

Iwai, Isamu; Doi, Miwako; Yamaguchi, K.; Fukui, Mika; Takebayashi, Yoichi

doi:10.1145/67449.67520

Cited by 5 publications

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Early research in this area focused on text formatting (Peels, Janssen, and Nawjin (1985), Furuta, Schofield, and Shaw (1982), Knuth and Plass (1981)). True pagination and pagelayout problems have received less attention, though the eclectic nature of the little work that has been done , Iwai et al (1989), Rosenking et al (1991), Chew et al (1994), Weitzman and Wittenburg (1994), Harada, Witkin, and Baraff (1995), Graf, Neurohr, and Goebel (1996)) illustrates the broad range of problems that arise and the solutions that might be applied to them.…”

Section: Previous Workmentioning

confidence: 99%

Automatic Yellow-Pages pagination and layout

et al. 1997

View full text Add to dashboard Cite

Section: Previous Workmentioning

confidence: 99%

Automatic Yellow-Pages pagination and layout

et al. 1997

View full text Add to dashboard Cite

Development of document architecture extraction

Doi

Fukui

Tamaguchi

et al. 1994

Systems & Computers in Japan

View full text Add to dashboard Cite

The purpose of this study is the reduction of the burden in the document structurization process. A technique is presented for extracting the document architecture. As the technical document, 12,000 articles are extracted from the proceedings of a national convention. A summary of sample sentences as well as approximately 500 office documents within the organization also are examined as business documents. The rules for extracting the architecture are derived. The technique developed for document architecture extraction can extract such hierarchical structures as chapters and sections, as well as the reference structure to figures and tables from the technical document. The technique can also extract the hierarchical structure such as communications and reports from the business document. The technical and business documents can be discriminated by analyzing the character strings. As a result of evaluation using proceedings and in‐office documents other than those used for deriving the rules, the error rate is 10.0 percent for the technical document and 23.0 percent for the business document. The error in extracting the reference structure is 8 percent. A field test is executed after improving the method so that the equations, figures and tables embedded in the text can be handled. The error rate is 5.4 percent for the technical document and 15.4 percent for the business document. It is verified through examples that the structurization can be achieved in a considerably shorter time than by manual processing. The developed document architecture extraction technique is commercialized as an automatic system by combining the technique with the layout attribute. The developed extraction technique will be utilized effectively in the hypertext conversion of the existing document and other problems, in addition to the layout processing.

show abstract

Hidden in Plain Sight: Building a Global Sustainable Development Data Catalogue

Hodson¹,

Spezzatti

2020

ICT Analysis and Applications

View full text Add to dashboard Cite

Modern scientific research for Sustainable Development depends on the availability of large amounts of relevant real-world data. However, there are currently no extensive global databases that associate existing data sets with the research domains they cover. We present the SDG Data Catalogue , an open, extensible, global database of data sets, metadata, and research networks built automatically by mining millions of published open access academic works. Our system leverages advances in Artificial Intelligence and Natural Language Processing Technologies to extract and organise deep knowledge of data sets available that is otherwise hidden in plain sight in the continuous stream of research generated by the scientific community.

show abstract

A document layout system using automatic document architecture extraction

Cited by 5 publications

References 4 publications

Automatic Yellow-Pages pagination and layout

Automatic Yellow-Pages pagination and layout

Development of document architecture extraction

Hidden in Plain Sight: Building a Global Sustainable Development Data Catalogue

Contact Info

Product

Resources

About