Syntactic segmentation and labeling of digitized pages from technical journals

Krishnamoorthy, Mukkai S.; Nagy, George; Seth, Sharad; Viswanathan, Mahesh

doi:10.1109/34.221173

Cited by 116 publications

(64 citation statements)

References 7 publications

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“…However, there are several studies on the automatic identification of logical structure of documents e.g. (Conway, 1993;Yamashita et al, 1991;Derrien-Peden, 1991;Krishnamoorthy, 1993). Most traditional approaches in this field have employed deterministic methods (decision trees, formal grammars) (Mao et al, 2003;Tsujimoto & Asada, 1990;Derrien-Peden, 1991), which may suffer from poor performance due to noise and uncertainty.…”

Section: Classification and Usage Of Typographic Elementsmentioning

confidence: 99%

A Methodology for the Extraction of Reader's Emotional State Triggered from Text Typography

Tsonos¹

2008

Tools in Artificial Intelligence

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Section: Classification and Usage Of Typographic Elementsmentioning

confidence: 99%

A Methodology for the Extraction of Reader's Emotional State Triggered from Text Typography

Tsonos¹

2008

Tools in Artificial Intelligence

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“…However, there have been a number of studies on the automatic identification of logical structure of documents e.g. [1], [2], [4], [8]. Most traditional approaches in this field have employed deterministic methods (decision trees, formal grammars) [12], [15], [4], which however may suffer from poor performance in the presence of noise and uncertainty.…”

Section: Introductionmentioning

confidence: 99%

A Bayesian Network Approach to Semantic Labelling of Text Formatting in XML Corpora of Documents

Fourli-Kartsouni

Slavakis

2007

Lecture Notes in Computer Science

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Abstract. The wide-spread applications of document digitization have lead to the use of structured digital representation methods such as the XML language. Extraction methodologies for the formatting metadata can be used on such structured documents for enhancing their accessibility, including augmented audio representation of documents. To the best of our knowledge, an effort has yet to be made to produce an automatic extraction system of semantic information of the document formatting, solely from document layout, without the use of natural language processing. In this study a corpus of XML representations of several issues of a Greek newspaper is used in order to create and evaluate a semantic classifier of text formatting, based on Bayesian Networks.

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“…We reported good results for RXYC segmentation in 1992 [3], from which Shafait et al extracted the algorithm, and added to the evidence in [4]. The documents used in our experiments were either scanned or copied against a white background or obtained from an IEEE CD-ROM (this was pre-Web!)…”

mentioning

confidence: 97%