MiTAP for real users, real data, real problems

The MiTAP system was developed as an experimental prototype using human language technologies for monitoring disease outbreaks. The system provides timely, multi-lingual, global information access to analysts, medical experts and individuals involved in humanitarian assistance. Thousands of articles from electronic information sources spanning multiple languages are automatically captured, translated, tagged, summarized, and presented to users in a variety of ways. Real users access MiTAP daily to solve real problems. The successful adoption of MiTAP is attributed to its user-focused design that accommodates the imperfect component technologies and allows users to interact with the system in familiar ways. We will discuss the problem, design process, and implementation from the perspective of services provided and how these services support system capabilities that satisfy user requirements. Keywords Information detection, summarization, extraction

• Type: Conference
• Year: 2003
• Where: CHI
• Authors: Laurie E. Damianos, Steve Wohlever, Robyn Kozierok, Jay M. Ponte
• Keywords: CHI 2003, Human Computer Interaction, Human Language Technologies, Imperfect Component Technologies, Real Users Access