Title
Xml Document Transformation With Conditional Random Fields
Abstract
We address the problem of structure mapping that arises in XML data exchange or XML document transformation. Our approach relies on XML annotation with semantic labels that describe local tree editions. We propose XML Conditional Random Fields (XCRFs), a framework for building conditional models for labeling XML documents. We equip XCRFS with efficient algorithms for inference and parameter estimation. We provide theoretical arguments and practical experiments that illustrate their expressivity and efficiency. Experiments on the Structure Mapping movie datasets of the INEX XML Document Mining Challenge yield very good results.
Year
DOI
Venue
2006
10.1007/978-3-540-73888-6_48
COMPARATIVE EVALUATION OF XML INFORMATION RETRIEVAL SYSTEMS
Keywords
Field
DocType
data exchange,xml document,parameter estimation,conditional random field
XML framework,XML Encryption,Efficient XML Interchange,Streaming XML,Well-formed document,Information retrieval,Computer science,XML validation,Document Structure Description,XML schema
Conference
Volume
ISSN
Citations 
4518
0302-9743
6
PageRank 
References 
Authors
0.61
22
4
Name
Order
Citations
PageRank
Rémi Gilleron151233.07
Florent Jousse270.96
isabelle tellier38420.31
Marc Tommasi421117.13