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International Journal on Document Analysis and Recognition (IJDAR)

Ausgabe 2/2011

Special issue on noisy text analytics

Inhalt (11 Artikel)

Editorial

Special issue on noisy text analytics

Daniel Lopresti, Shourya Roy, Klaus Schulz, L. Venkata Subramaniam

Original Paper

Report from the AND 2009 working group on noisy text datasets

Simone Marinai, Dimosthenis Karatzas

Original Paper

Text retrieval from early printed books

Simone Marinai

Original Paper

A word spotting framework for historical machine-printed documents

A. L. Kesidis, E. Galiotou, B. Gatos, I. Pratikakis

Original Paper

Unconstrained handwritten document retrieval

Huaigu Cao, Venu Govindaraju, Anurag Bhardwaj

Original Paper

Towards information retrieval on historical document collections: the role of matching procedures and special lexica

Annette Gotscharek, Ulrich Reffle, Christoph Ringlstetter, Klaus U. Schulz, Andreas Neumann

Original Paper

Robust named entity detection from optical character recognition output

Krishna Subramanian, Rohit Prasad, Prem Natarajan

Original Paper

Domain-specific entity extraction from noisy, unstructured data using ontology-guided search

Sergey Bratus, Anna Rumshisky, Alexy Khrabrov, Rajenda Magar, Paul Thompson

Original Paper

Supervised semantic relation mining from linguistically noisy text documents

Cristina Giannone, Roberto Basili, Paolo Naggar, Alessandro Moschitti

Open Access Original Paper

Digital weight watching: reconstruction of scanned documents

Maarten Marx, Tim Gielissen