Representing documents by vectors that are independent of language enhances machine translation and multilingual text categorization. We use discriminative training to create a pr...
A method for automatic plot analysis of narrative texts that uses components of both traditional symbolic analysis of natural language and statistical machine-learning is presente...
We present an introspection/reflection framework for SystemC which extracts design-relevant structure information and transaction data under any LRM-2.1 compliant simulation kern...
Abstract: Document analysis and text mining techniques are used to preprocess documents in information retrieval systems, to extract concepts in ontology construction processes, an...
Series Parallel (SP) digraphs are a common method of representing instructions with partially ordered actions, but not always an ideal one, as relationships among groups of action...