Paper Info
Title
Learning syntactic structures with XML
Abstract
We present the result of a symbolic machine learning system for the CoNLL-2000 shared task. This system, ALLiS, is based on theory refinement. In this paper we want to show that XML format not only offers a good framework to annotate texts, but also provides a good formalism and tools in order to learn (syntactic) structures.
Year
DOI
Venue
2000
10.3115/1117601.1117632
CoNLL/LLL
Field
DocType
Citations 
XML framework,Programming language,XML,XML validation,Computer science,Artificial intelligence,Natural language processing,Formalism (philosophy),Syntax
Conference
6
PageRank 
References 
Authors
2.78
1
1
Name
Order
Citations
PageRank
Hervé Déjean137748.52