Twelfth International Symposium on Methodologies for Intelligent Systems (ISMIS'00) Held in Charlotte, North Carolina on October 11-14, 2000
Abstract
The amount of on-line information is growing exponentially. Much of this information is unstructured and language-based. To deal with this flood of information, a number of tools and language technolo- gies have been developed. Progress has been made in areas such as in- formation retrieval, information extraction, filtering, speech recognition, machine translation, and data mining. Other more specific areas such as cross-lingual retrieval, summarization, categorization, distributed re- trieval, and topic detection and tracking are also contributing to the proliferation of technologies for managing information. Currently these tools are based on many different approaches, both formal and ad hoc. Integrating them is very difficult, yet this will be a critical part of build- ing effective information systems in the future. In this paper, we discuss an approach to providing a framework for integration based on language models.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 14, 2000
- Accession Number
- ADA390068
Entities
People
- Zbigniew W. Ras
Organizations
- University of North Carolina at Charlotte