Understanding the source, data, and documentation files associated with legacy systems in preparation for maintenance or reengineering is an increasingly important problem for man...
Language modeling is an effective and theoretically attractive probabilistic framework for text information retrieval. The basic idea of this approach is to estimate a language mo...
Abstract-- Mining textual documents and time series concurrently, such as predicting the movements of stock prices based on the contents of the news stories, is an emerging topic i...
Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu
Natural languageprocessingNLP programsare confronted with various di culties in processing HTML and XML documents, and have the potential to produce better results if linguistic i...
Hideo Watanabe, Katashi Nagao, Michael C. McCord, ...
This paper introduces a well defined co-operation between domain expert, knowledge engineer, and knowledge acquisition and transformation tools. First, the domain expert supported...