C4.5: programs for machine learning
C4.5: programs for machine learning
Summarizing Similarities and Differences Among Related Documents
Information Retrieval
SPSS Base 7.5; Applications Guide
SPSS Base 7.5; Applications Guide
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Finite-state phrase parsing by rule sequences
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
MITRE: description of the Alembic system used for MUC-6
MUC6 '95 Proceedings of the 6th conference on Message understanding
A syntax-based statistical translation model
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Robust temporal processing of news
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Tracking and summarizing news on a daily basis with Columbia's Newsblaster
HLT '02 Proceedings of the second international conference on Human Language Technology Research
HLT '02 Proceedings of the second international conference on Human Language Technology Research
HLT-NAACL--Demonstrations '04 Demonstration Papers at HLT-NAACL 2004
An exploratory study of news article clustering for web-based bio-surveillance
Proceedings of the 1st ACM International Health Informatics Symposium
Hi-index | 0.00 |
MiTAP (MITRE Text and Audio Processing) is a prototype system available for monitoring infectious disease outbreaks and other global events. MiTAP focuses on providing timely, multi-lingual, global information access to medical experts and individuals involved in humanitarian assistance and relief work. Multiple information sources in multiple languages are automatically captured, filtered, translated, summarized, and categorized by disease, region, information source, person, and organization. Critical information is automatically extracted and tagged to facilitate browsing, searching, and sorting. The system supports shared situational awareness through collaboration, allowing users to submit other articles for processing, annotate existing documents, post directly to the system, and flag messages for others to see. MiTAP currently stores eight hundred thousand articles and processes an additional 2000 to 10,000 daily, delivering up-to-date information to dozens of regular users.