Outputs (24)

NAME – A Rich XML Format for Named Entity and Relation Tagging (2023)
Presentation / Conference Contribution

We present NAME XML, a schema for named entities and relations in documents. The standout features are: option to reference a variety of document formats (such as PAGE XML or plain text), support of entity hierarchies, custom entity types via ontolog... Read More about NAME – A Rich XML Format for Named Entity and Relation Tagging.

A survey of OCR evaluation tools and metrics (2021)
Presentation / Conference Contribution

The millions of pages of historical documents that are digitized in libraries are increasingly used in contexts that have more specific requirements for OCR quality than keyword search. How to comprehensively, efficiently and reliably assess the qual... Read More about A survey of OCR evaluation tools and metrics.

Flexible character accuracy measure for reading-order-independent evaluation (2020)
Journal Article

The extraction of textual information from scanned document pages is a fundamental stage in any digitisation effort and directly determines the success of the overall document analysis and understanding application scenarios. To evaluate and improve... Read More about Flexible character accuracy measure for reading-order-independent evaluation.

A cloud-hosted MapReduce architecture for syntactic parsing (2019)
Presentation / Conference Contribution

Syntactic parsing is a time-consuming task innatural language processing particularlywherea largenumber of text files are beingprocessed. Parsingalgorithms are conventionally designed to operate on a single machine in a sequenti... Read More about A cloud-hosted MapReduce architecture for syntactic parsing.

Efficient and effective OCR engine training (2019)
Journal Article
Clausner, C., Antonacopoulos, A., & Pletschacher, S. (2020). Efficient and effective OCR engine training. International Journal on Document Analysis and Recognition, 23(1), 73-78. https://doi.org/10.1007/s10032-019-00347-8

We present an efficient and effective approach to train OCR engines using the Aletheia document analysis system. All components required for training are seamlessly integrated into Aletheia: training data preparation, the OCR engine’s training proces... Read More about Efficient and effective OCR engine training.

Crowdsourcing historical tabular data : 1961 census of England and Wales (2019)
Presentation / Conference Contribution

This paper describes how crowdsourcing can be incorporated as an integral part of a comprehensive technical workflow to identify, extract and validate data from large volumes of printed tabular statistics, and transform them into operable digital dat... Read More about Crowdsourcing historical tabular data : 1961 census of England and Wales.

Towards the extraction of statistical information from digitised numerical tables - the Medical Officer of Health reports scoping study (2019)
Presentation / Conference Contribution

Numerical data of considerable significance is present in historical documents in tabular form. Due to the challenges involved in the extraction of this data from the scanned documents it is not available to researchers in a useful representation tha... Read More about Towards the extraction of statistical information from digitised numerical tables - the Medical Officer of Health reports scoping study.

Highlights of the novel dewaterability estimation test (DET) device (2019)
Journal Article
Scholz, M., Almuktar, S., Clausner, C., & Antonacopoulos, A. (2020). Highlights of the novel dewaterability estimation test (DET) device. Environmental Technology, 41(20), 2594-2602. https://doi.org/10.1080/09593330.2019.1575916

Many industries, which are producing sludge in large quantities, depend on sludge dewatering technology to reduce the corresponding water content. A key design parameter for dewatering equipment is the capillary suction time (CST) test, which has, ho... Read More about Highlights of the novel dewaterability estimation test (DET) device.

ICFHR 2018 Competition on recognition of historical Arabic scientific manuscripts - RASM2018 (2018)
Presentation / Conference Contribution

This paper presents an objective comparative evaluation of page analysis and recognition methods for historical scientific manuscripts with text in Arabic language and script. It describes the competition (modus operandi, dataset and evaluation metho... Read More about ICFHR 2018 Competition on recognition of historical Arabic scientific manuscripts - RASM2018.

Ontology and framework for semantic labelling of document data and software methods (2018)
Presentation / Conference Contribution

We present a metadata labelling framework for datasets, software tools, and workflows. An ontology for document image analysis was developed with deep support for historical data. An accompanying open source software framework was implemented to enab... Read More about Ontology and framework for semantic labelling of document data and software methods.