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ACL
2011
13 years 1 months ago
Can Document Selection Help Semi-supervised Learning? A Case Study On Event Extraction
Annotating training data for event extraction is tedious and labor-intensive. Most current event extraction tasks rely on hundreds of annotated documents, but this is often not en...
Shasha Liao, Ralph Grishman
CORR
2007
Springer
117views Education» more  CORR 2007»
13 years 10 months ago
Dirac Notation, Fock Space and Riemann Metric Tensor in Information Retrieval Models
Using Dirac Notation as a powerful tool, we investigate the three classical Information Retrieval (IR) models and some their extensions. We show that almost all such models can be...
Xing M. Wang
ICDAR
1999
IEEE
14 years 2 months ago
Preattentive Reading and Selective Attention for Document Image Analysis
PixED (from Pixel to Electronic Document) is aimed at converting document images into structured electronic documents which can be read by a machine for information retrieval. The...
Claudie Faure
ICAIL
2007
ACM
14 years 2 months ago
The Legal-RDF Ontology. A Generic Model for Legal Documents
Legal-RDF.org1 publishes a practical ontology that models both the layout and content of a document and metadata about the document; these have been built using data models implici...
John McClure
RIAO
1997
13 years 11 months ago
Coupling information retrieval and information extraction: A new text technology for gathering information from the web
The techniques of information retrieval and information extraction are complementary, but to date there has been little concrete work aimed at integrating the two. We describe how...
Robert J. Gaizauskas, Alexander M. Robertson