Designing a Semantic Ground Truth for Mathematical Formulae
Sexton, Alan; Sorge, Volker; Suzuki, Masakazu
- Towards a Digital Mathematics Library. Paris, France, July 7-8th, 2010, Publisher: Masaryk University Press(Brno, Czech Republic), page 37-42
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topSexton, Alan, Sorge, Volker, and Suzuki, Masakazu. "Designing a Semantic Ground Truth for Mathematical Formulae." Towards a Digital Mathematics Library. Paris, France, July 7-8th, 2010. Brno, Czech Republic: Masaryk University Press, 2010. 37-42. <http://eudml.org/doc/220332>.
@inProceedings{Sexton2010,
abstract = {We report on a new project to design a semantic ground truth set for mathematical document analysis. The ground truth set will be generated by annotating recognised mathematical symbols with respect to both their global meaning in the context of the considered documents and their local function within the particular mathematical formula they occur. The aim of our work is to have a reliable database available for semantic classification during the formula recognition process with the aim of enabling correct interpretations of mathematical formulae and generating semantic markup such as Content MathML.},
author = {Sexton, Alan, Sorge, Volker, Suzuki, Masakazu},
booktitle = {Towards a Digital Mathematics Library. Paris, France, July 7-8th, 2010},
keywords = {Content MathML; OCR},
location = {Brno, Czech Republic},
pages = {37-42},
publisher = {Masaryk University Press},
title = {Designing a Semantic Ground Truth for Mathematical Formulae},
url = {http://eudml.org/doc/220332},
year = {2010},
}
TY - CLSWK
AU - Sexton, Alan
AU - Sorge, Volker
AU - Suzuki, Masakazu
TI - Designing a Semantic Ground Truth for Mathematical Formulae
T2 - Towards a Digital Mathematics Library. Paris, France, July 7-8th, 2010
PY - 2010
CY - Brno, Czech Republic
PB - Masaryk University Press
SP - 37
EP - 42
AB - We report on a new project to design a semantic ground truth set for mathematical document analysis. The ground truth set will be generated by annotating recognised mathematical symbols with respect to both their global meaning in the context of the considered documents and their local function within the particular mathematical formula they occur. The aim of our work is to have a reliable database available for semantic classification during the formula recognition process with the aim of enabling correct interpretations of mathematical formulae and generating semantic markup such as Content MathML.
KW - Content MathML; OCR
UR - http://eudml.org/doc/220332
ER -
References
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