Data Set Used
We describe a biographical multi-document summarizer that summarizes information about people described in the news. The summarizer uses corpus statistics along with linguistic knowledge to select and merge descriptions of people from a document collection, removing redundant descriptions. The summarization components have been extensively evaluated for… (More)
We describe a system which automatically generates multimedia briefings from high-level outlines. The system uses summarization in content selection and creation, and in helping form a coherent narrative for the briefing. The approach does not require a domain knowledge base.
The emergence of vast quantities of on-line information has raised the importance of methods for automatic cataloguing of information in a variety of domains, including electronic commerce and bioinformatics. Ontologies can play a critical role in such cataloguing. In this paper, we describe a system that automatically induces an ontology from any large… (More)
As part of MITRE's work under the DARPA TIDES (Translingual Information Detection, Extraction and Summarization) program, we are preparing a series of demonstrations to showcase the TIDES Integrated Feasibility Experiment on Bio-Security (IFE-Bio). The current demonstration illustrates some of the resources that can be made available to analysts tasked with… (More)
This poster summarizes the techniques we use to serve Foursquare tips for a given venue and more specifically the strategies employed for choosing timely and seasonal tips.
OBJECTIVE The authors present a system that scans electronic records from cardiac surgery and uses inference rules to identify and classify abnormal events (e.g., hypertension) that may occur during critical surgical points (e.g., start of bypass). This vital information is used as the content of automatically generated briefings designed by MAGIC, a… (More)