The Smart/Empire Tipster IR System
Abstract
The primary goal of the Cornell/Sabir TIPSTER Phase III project is to develop techniques to improve the end-user efficiency of information retrieval (IR) systems. We have focused our investigations in four related research areas: 1. High Precision Information Retrieval. The goal of our research in this area is to increase the accuracy of the set of documents given to the user. 2. Near-Duplicate Detection. The goal of our work in near-duplicate detection is to develop methods for delineating or removing from the set of retrieved documents any information that the user has already seen. 3. Context-Dependent Document Summarization. The goal of our research in this area is to provide for each document a short summary that includes only those portions of the document relevant to the query. 4. Context-Dependent Multi-Document Summarization. The goal of our research in this area is to provide a short summary for an entire group of related documents that includes only query-related portions.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 1998
- Accession Number
- ADA631829
Entities
People
- Chris Buckley
- Claire Cardie
- David Pierce
- Janet Walz
- Kiri Wagstaff
- Mandar Mitra
- Scott Mardis
Organizations
- Cornell University