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NIST Special Publication 500-215:

The Second Text REtrieval Conference (TREC-2)

Table of Contents

ABSTRACT viii
PAPERS
1. Overview of the Second Text REtrieval Conference (TREC-2)
D. Harman (National Institute of Standards and Technology)
1
2. Okapi at TREC-2
S. Robertson, S. Walker, S. Jones, M. Hancock-Beaulieu, M. Gatford (City University, London)
21
3. Combining Evidence for Information Retrieval
N. Belkin, P. Kantor, C. Cool, R. Quatrain (Rutgers University)
35
4. Automatic Routing and Ad-hoc Retrieval Using SMART : TREC 2
C. Buckley, J. Allan, G. Salton (Cornell University)
45
5. Full Text Retrieval based on Probabilistic Equations with Coefficients fitted by
Logistic Regression
W. Cooper, A. Chen, F. Gey (University of California, Berkeley)
57
6. Probabilistic Learning Approaches for Indexing and Retrieval with the TREC-2 Collection
N. Fuhr, U. Pfeifer, C. Bremkamp, M. Pollmann (University of Dortmund, Germany)
67
7. TREC-2 Routing and Ad-Hoc Retrieval Evaluation using the INQUERY System
W. Croft, J. Callan, J. Broglio (University of Massachusetts, Amherst)
75
8. DR-LINK: A System Update for TREC-2
E. Liddy, S. Myaeng (Syracuse University)
85
9. Feedback and Mixing Experiments with MatchPlus
S. Gallant, W. Caid, J. Carleton, T. Gutschow, R. Hecht-Nielsen, K. Qing, D. Sudbeck (HNC, Inc.)
101
10. Latent Semantic Indexing (LSI) and TREC-2
S. Dumais (Bellcore)
105
11. An Information Retrieval Test-bed on the CM-5
B. Masand, C. Stanfill (Thinking Machines Corporation)
117
12. Recent Developments in Natural Language Text Retrieval
T. Strzalkowski, J. Carballo (New York University)
123
13. Design and Evaluation of the CLARIT-TREC-2 System
D. Evans, R. Lefferts (Carnegie Mellon University and CLARIT Corporation)
137
14. Bayesian Inference with Node Aggregation for Information Retrieval
B. Del Favero, R. Fung (Institute for Decision Systems Research)
151
15. Effective and Efficient Retrieval from Large and Dynamic Document Collections
D. Knaus, P. Schäuble (Swiss Federal Institute of Technology)
163
16. N-Gram-Based Text Filtering for TREC-2
W. Cavnar (Environmental Research Institute of Michigan)
171
17. Retrieval of Partial Documents
A. Moffat, R. Sacks-Davis, R. Wilkinson, J. Zobel
(CITRI, Royal Melbourne Institute of Technology)
181
18. GE in TREC-2: Results of a Boolean Approximation Method for Routing and Retrieval
P. Jacobs (GE Research and Development Center)
191
19. TREC-II Routing Experiments with the TRW/Paracel Fast Data Finder
M. Mettler (TRW Systems Development Division)
201
20. Knowledge-Based Searching with TOPIC
J. Lehman, C. Reid (Verity, Inc.)
209
21. On Expanding Query Vectors with Lexically Related Words
E. Voorhees (Siemens Corporate Research, Inc.)
223
22. TREC-2 Document Retrieval Experiments using PIRCS
K. Kwok, L. Grunfeld (Queens College, CUNY)
233
23. Combination of Multiple Searches
E. Fox, J. Shaw (Virginia Tech)
243
24. Machine Learning for Knowledge-Based Document Routing
(A Report on the TREC-2 Experiment)
R. Tong, L. Appelbaum (Advanced Decision Systems)
253
25. The ConQuest System
P. Nelson (ConQuest Software, Inc.)
265
26. Description of the PRC CEO Algorithm for TREC-2
P. Thompson (PRC, Inc.)
271
27. Report of Progress for TREC-II
W. Kelleher (Systems Environments Corporation)
275
28. UCLA-Okapi at TREC-2: Query Expansion Experiments
E. Efthimiadis, P. Biron (University of California at Los Angeles)
279
29. Incorporation Semantics Within a Connectionist Model and a Vector Processing Model
R. Boyd, J. Driscoll (University of Central Florida)
291
REPORTS OF DISCUSSION GROUPS
1. The Efficiency Issues Workshop Report 303
2. Workshop Report - Use of Training Materials in Constructing Routing Queries 305
APPENDICES
A. TREC-2 Results A-1
B. System Features B-1

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Date updated: Thursday, 07-Jun-2001 20:00:01 UTC
Date created:  Monday, 18-Sept-00