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Date: Thursday, 21-Nov-96 23:25:39 GMTServer: NCSA/1.3MIME-version: 1.0Content-type: text/htmlLast-modified: Tuesday, 19-Nov-96 20:38:32 GMTContent-length: 4611<TITLE> Jody J. Daniels (daniels@cs.umass.edu)</TITLE><h1>Jody J. Daniels</h1><!WA0><img src="http://cbr-www.cs.umass.edu/~daniels/picts/jody-homepage.gif" alt="Picture of me"><dl><dd>Ph.D. Candidate<p><dd><!WA1><a href="http://www.cs.umass.edu/">Department of Computer Science</a><dd><!WA2><a href="http://www.cs.umass.edu/rcfdocs/newhome/index.html">University of Massachusetts</a><dd>Amherst MA 01003-4610<p><dd>Lederle Graduate Research Center<dd>Room A249<dd>(413) 545-1985<dd>(413) 545-1249 <i>fax</i><p><tt><!WA3><a href="mailto:daniels@cs.umass.edu">daniels@cs.umass.edu</a></tt><hr><h2>Education</h2><p>M.S., Computer Science, May 1993,  <!WA4><ahref="http://www.cs.umass.edu/rcfdocs/newhome/index.html">Universityof Massachusetts</a> <br>B.S., Applied Mathematics (Computer Science), May 1983, <!WA5><a href="http://www.cmu.edu/">Carnegie Mellon University</a><p><hr><h2>Research</h2><p><!WA6><a href="http://cbr-www.cs.umass.edu/~daniels//"><!WA7><img src="http://cbr-www.cs.umass.edu/images/cbr-logo-small.gif"> Case-Based Reasoning Laboratory</a><p><h3> Retrieval of Passages for Information Reduction </h3>Information Retrieval (IR) typically retrieves entire documents inresponse to a user's information need.  However, many times a userwould prefer to examine smaller portions of a document.  One exampleof this is when building a frame-based representation of a text.  Theuser would like to read all and only those portions of the text thatare about predefined important features.  <p>My research addresses the problem of automatically locating textabout these features, where the important features are those definedfor use by a case-based reasoning (CBR) system in the form of slotsand fillers.<p>We use a small set of ``annotations'', textual segments, that havewere saved when creating the original case-base to generate queriesand retrieve relevant passages.  Annotations are associated with theslot about which they provide information.  Using a case-base ofannotations for each slot we generate and pose a query to an IR systemthat is aimed at the retrieval of passages within a relevant document.By locating passages for display to the user, we winnow a text down tosets of several sentences, greatly reducing the time and effortexpended searching through each text for important features.<p>This research is done in conjunction with <!WA8><ahref="http://ciir.cs.umass.edu/">The Center for Intelligent     Information Retrieval </a>.<p>For a one page abstract, see: Daniels, J.J.  "<!WA9><AHREF="http://cbr-www.cs.umass.edu/~daniels/Papers/cb-23.ps">Selection of Passages for InformationReduction."</a> In Proceedings of the 13th National Conference onArtificial Intelligence (AAAI-96), 1360. Portland, OR.     <h3>Selected Papers</h3><p><ul> <li> Daniels, J.J.  <!WA10><A HREF="http://cbr-www.cs.umass.edu/~daniels/Papers/cb-24.ps">"Retrieval of Passagesfor Information Reduction,"</a> Ph.D. Proposal, April1996. (Prof. Rissland advisor).  Also UMass Technical Report 96-41,July 1996. Select here for an <!WA11><A HREF="http://cbr-www.cs.umass.edu/~daniels/Papers/cb-24.txt">Abstractonly.</a>  <p><li>Rissland, E.L. and Daniels, J.J.  (1996).<!WA12><ahref="http://cbr-www.cs.umass.edu/abstracts.html#Rissland:Synergistic-Application">"TheSynergistic Application of CBR to IR."</a> In ArtificialIntelligence Review: Special Issue on the Use of AI in InformationRetrieval. 10:441-475.<p><li>Rissland, E.L. and Daniels, J.J. (1995). <!WA13><ahref="http://cbr-www.cs.umass.edu/abstracts.html#Rissland:Using-CBR-to-Drive-IR">"Using CBR toDrive IR."</a> In Proceedings of the Fourteenth International JointConference on Artificial Intelligence (IJCAI-95), 400-407. Montreal,Canada. <p><li>Daniels, J.J. and Rissland, E.L. (1995). <!WA14><ahref="http://cbr-www.cs.umass.edu/abstracts.html#Daniels:CBR-Approach-to-IR">"A Case-BasedApproach to Intelligent Information Retrieval."</a> In Proceedings ofthe 18th Annual International ACM SIGIR Conference on Research andDevelopment in Information Retrieval (SIGIR-95), 238-245. Seattle,WA.<p><li>Rissland, E.L. and Daniels, J.J. (1995). <!WA15><ahref="http://cbr-www.cs.umass.edu/abstracts.html#Rissland:Hybrid-CBR-IR-Approach-to-Legal-Information-Retrieval">"AHybrid CBR-IR Approach to Legal Information Retrieval."</a> InProceedings of the Fifth International Conference on ArtificialIntelligence and Law (ICAIL-95), 52-61. College Park, MD.</ul><hr><h2>Other Pages</h2><ul><li><!WA16><a href="http://dis.cs.umass.edu/~dann/canoeing.html">How to CanoeZoar Gap!  Not.</a><li><!WA17><a href="http://cbr-www.cs.umass.edu/~daniels/eyes.html">The Eyes Have It </a><li><!WA18><a href="http://www.math.ufl.edu/~sfm/ACL/acl.html">Knees - TheACL in Reconstruction </a><li><!WA19><ahref="http://www.aic.nrl.navy.mil/~aha/">World-Wide CBR Directory </a><li><!WA20><ahref="http://spa-www.cs.umass.edu/~dropsho/softball/softball.html">ScreamingCoyotes Softball </a><p></ul><hr><p><i> Latest Update:</i> 7 November 1996

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