The paper proposes an approach to content dissemination that exploits the structural properties of XML Document Object Model in order to provide efficient dissemination by at the...
This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according...
This paper presents a method for extracting purpose statements from clinical trial protocol summaries. Simple summarization technology based on regular expressions and natural lang...
Markup languages, representations, schemas, and tools have significantly increased the ability for organizations to share their information. Languages such as the Extensible Marku...
Abstract--The paper proposes an approach to content dissemination that exploits the structural properties of an Extensible Markup Language (XML) document object model in order to p...