TABLE OF CONTENTS
FOREWORD
ABSTRACT
PAPERS
Overview of the Third Text REtrieval Conference (TREC-3), page
1 D. Harman (National Institute of Standards and Technology)
Xerox TREC-3 Report: Combining Exact and Fuzzy Predictors, page
21 H. Schutze, J. O. Pedersen, M. A. Hearst (Xerox Palo Alto
Research Center)
Document Retrieval and Routing Using the INQUERY System, page
29 J. Broglio, J. P. Callan, W. B. Croft, D. W. Nachbar
(University of Massachusetts)
Natural Language Information Retrieval: TREC-3 Report, page
39 T. Strzalkowski, J. P. Carballo, M. Marinescu (New York
University)
Indexing Structures Derived from Syntax in TREC-3: System
Description, page 55 A. F. Smeaton, R. O'Donnell, F.
Kelledy (Dublin City University)
Automatic Query Expansion Using SMART: TREC 3, page 69 C.
Buckley, G. Salton, J. Allan, A. Singhal (Cornell University)
Comparison of Fragmentation Schemes for Document Retrieval, page
81 R. Wilkinson, J. Zobel (CITRI, Royal Melbourne Institute of
Technology)
Information Retrieval Systems for Large Document Collections,
page 85 A. Moffat, J. Zobel (CITRI, Royal Melbourne Institute
of Technology)
The
Collection Fusion Problem, page 95 E. Voorhees, N. K.
Gupta, B. Johnson-Laird (Siemens Corporate Research, Inc.)
Combination of Multiple Searches, page 105 J. A. Shaw, E.
A. Fox (Virginia Polytechnic Institute and State University)
Okapi at TREC-3, page 109 S. E. Robertson, S. Walker, S.
Jones, M. M. Hancock-Beaulieu, M. Gatford (City University)
Experiments in the Probabilistic Retrieval of Full Text Documents,
page 127 W. S. Cooper, A. Chen, F. C. Gey (University of
California, Berkeley)
Routing and Ad-hoc Retrieval with the TREC-3 Collection in a
Distributed Loosely Federated Environment, page 135 N.
Walczuch, N. Fuhr, M. Pollmann, B. Sievers (University of Dortmund,
Germany)
New Tools and Old Habits: The Interactive Searching Behavior of Expert
Online Searches using INQUERY, page 145 J. Koenemann,
R. Quatrain, C. Cool, N. J. Belkin (Rutgers University)
Interactive Exploration as a Formal Text Retrieval Method: How
Well can Interactivity Compensate for Unsophisticated Retrieval
Algorithms
Figure 4 (Note: Use landscape to view), page 179 N.
Charoenkitkarn, M. Chignell, G. Golovchinsky (University of Toronto)
Interactive Document Retrieval Using TOPIC (A report on the
TREC-3 experiment), page 201 R. M. Tong (Verity, Inc.)
TREC-3 Ad Hoc Retrieval and Routing Experiments using the WIN
System, page 211 P. Thompson, H. Turtle, B. Yang, J.
Flood (West Publishing Company)
Latent Semantic Indexing (LSI): TREC-3 Report, page 219 S.
T. Dumais (Bellcore)
Query Expansion/Reduction and its Impact on Retrieval Effectiveness,
page 231 X. A. Lu, R. B. Keefer (Data Central, Inc.)
Improving a Basic Retrieval Method by Links and Passage Level
Evidence, page 241 D. Knaus, E. Mittendorf, P. Schauble
(Swiss Federal Institute of Technology (ETH))
TREC-3 Ad-Hoc, Routing Retrieval and Thresholding Experiments using
PIRCS, page 247 K. L. Kwok, L. Grunfeld (Queens College);
D. D. Lewis (AT&T Bell Labs)
Searching For Meaning With The Help Of A PADRE, page
257 D. Hawking, P. Thistlewaite (Australian National University)
Using An N-Gram-Based Document Representation With A
Vector Processing Retrieval Model, page 269 W. Cavnar
(The Environmental Research Institute of Michigan)
A
Parallel DBMS Approach to IR in TREC-3, page 279 D. A.
Grossman (Office of Information Technology), D. O. Holmes (AT&T
Global Information Solutions), O. Frieder (George Mason University)
Research in Automatic Profile Creation and Relevance Ranking with
LMDS, page 289 J. Yochum (Logicon, Inc.)
- TREC-3 Retrieval Evaluation Using Expert Network
Y. Yang, C. G.
Chute, G. E. Atkin, A. Anda (Mayo Clinic/Foundation)
- Acquaintance: A Novel Vector-Space N-Gram Technique for
Document
Categorization S. Huffman, M. Damashek (Department of
Defense)
Information Retrieval System for TREC3, page 311 K. Satoh,
A. Okumura, K. Yamabana (NEC Corporation)
Decision Level Data Fusion for Routing of Documents in the
TREC3 Context: A Base Case Analysis of Worst Case Results,
page 319 P. B. Kantor (Rutgers University)
TREC-3: Experience With Conceptual Relations in
Information Retrieval, page 333 D. Gardiner, J. Riedl,
J. Slagle (University of Minnesota)
The FDF Query Generation Workbench, page 353 K-I. Yu, P.
Scheibe, F. Nordby (Paracel, Inc.)
Report on the TREC-3 Experiment: A Learning Scheme in a Vector Space
Model, page 361 J. Savoy, M. Ndarugendamwo, D. Vrajitoru
(Universite de Neuchatel)
- Using Database Schemes to Detect Relevant Information, page
373
J. Driscoll, G. Theis, G. Billings (University of Central
Florida)
- A Statistical Analysis of the TREC-3 Data, page 385
J.
Tague-Sutcliffe, J. Blustein (University of Western Ontario)
APPENDICES
- A.
TREC-3
Results, page A-1
- B.
System
Features, page B-1
- C.
Comparison
Between TREC2 and TREC3, page
C-1 K. Sparck Jones (University of
Cambridge) |