Date: Thursday, 21-Nov-96 23:25:39 GMT Server: NCSA/1.3 MIME-version: 1.0 Content-type: text/html Last-modified: Tuesday, 19-Nov-96 20:38:32 GMT Content-length: 4611
M.S., Computer Science, May 1993, University
of Massachusetts
B.S., Applied Mathematics (Computer Science), May 1983,
Carnegie Mellon University
Case-Based Reasoning Laboratory
My research addresses the problem of automatically locating text about these features, where the important features are those defined for use by a case-based reasoning (CBR) system in the form of slots and fillers.
We use a small set of ``annotations'', textual segments, that have were saved when creating the original case-base to generate queries and retrieve relevant passages. Annotations are associated with the slot about which they provide information. Using a case-base of annotations for each slot we generate and pose a query to an IR system that is aimed at the retrieval of passages within a relevant document. By locating passages for display to the user, we winnow a text down to sets of several sentences, greatly reducing the time and effort expended searching through each text for important features.
This research is done in conjunction with The Center for Intelligent Information Retrieval .
For a one page abstract, see: Daniels, J.J. "Selection of Passages for Information Reduction." In Proceedings of the 13th National Conference on Artificial Intelligence (AAAI-96), 1360. Portland, OR.
Latest Update: 7 November 1996