NIST Special Publication 500-236:
The Fourth Text REtrieval Conference (TREC-4)

TABLE OF CONTENTS

PAPERS

1. Overview of the Fourth Text REtrieval Conference (TREC-4), page 1
   D. Harman (National Institute of Standards and Technology)
2. New Retrieval Approaches Using SMART: TREC 4 , page 25
   C. Buckley, A. Singhal, M. Mitra, (G. Salton) (Cornell University)
3. Recent Experiments with INQUERY, page 49
   J. Allan, L. Ballesteros, J. P. Callan, W. B. Croft, Z. Lu (University of Massachusetts, Amherst)
4. Logistic Regression at TREC4: Probabilistic Retrieval from Full Text Document Collections, page 65
   Fredric C. Gey, Aitao Chen, Jianzhang He and Jason Meggs
   (University of California, Berkeley)
5. Okapi at TREC-4, page 73
   S. E. Robertson, S. Walker, M. M. Beaulieu, M. Gatford, A. Payne
   (City University, London)
6. Xerox Site Report: Four TREC-4 Tracks
   M. Hearst, J. Pedersen, P. Pirolli, H. Schutze (Xerox Palo Alto Research Center), G. Grefenstette, D. Hull (Rank Xerox Research Centre)
7. Siemens TREC-4 Report: Further Experiments with Database Merging, page 121
   Ellen M. Voorhees (Siemens Corporate Research, Inc.)
8. Proximity Operators - So Near And Yet So Far, page 131
   D. Hawking and P. Thistlewaite (Australian National University)
9. TREC-4 Ad-Hoc, Routing Retrieval and Filtering Experiments using PIRCS, page 145
   K.L. Kwok and L. Grunfeld (Queens College, CUNY)
10. Research in Automatic Profile Generation and Passage-Level Routing with LMDS, page 153
    J. Yochum (Logicon, Inc.)
11. The TREC-4 Filtering Track, page 165
    D. Lewis (AT&T Research)
12. Using Relevance Feedback and Ranking in Interactive Searching , page 181
    N. J. Belkin, C. Cool, J. Koenemann, K. Bor Ng, S. Park (Rutgers University)
13. Is Recall Relevant? An Analysis of How User Interface Conditions Affect Strategies and Performance in Large Scale Text Retrieval, page 211
    N. Charoenkitkarn, M. H. Chignell, G. Golovchinsky (University of Toronto)
14. Highlighting Relevant Passages for Users of the Interactive SPIDER Retrieval System, page 233
    D. Knaus, E. Mittendorf, P. Schauble, P. Sheridan (Swiss Federal Institute of Technology (ETH))
15. Natural Language Information Retrieval: TREC-4 Report, page 245
    T. Strzalkowski (GE Corporate Research & Development) and J. P. Carballo (Courant Institute of Mathematical Sciences)
16. Multi-lingual Text Filtering Using Semantic Modeling, page 259
    J. D. Driscoll (Praxis Technologies), S. Abbott, K. Hu, M. Miller, G. Theis (University of Central Florida)
17. Similarity Measures for Short Queries, page 277
    R. Wilkinson, J. Zobel, R. Sacks-Davis (Royal Melbourne Institute of Technology)
18. InTEXT Precision Indexing in TREC-4 , page 287
    M. Burnett, C. Fisher, R. Jones (InText Systems)
19. Shortest Substring Ranking (MultiText Experiments for TREC-4), page 295
    C. L. A. Clarke, G. V. Cormack, F. J. Burkowski (University of Waterloo)
20. CLARIT TREC-4 Experiments, page 305
    D. A. Evans (CLARITECH Corporation/Carnegie Mellon University), N. Milic-Frayling, R. G. Lefferts (CLARITECH Corporation)
21. CLARIT TREC-4 Interactive Experiments, page 323
    N. Milic-Frayling, M. P. Mastroianni, D. A. Evans, R. G. Lefferts (CLARITECH Corp.)
    C. Zhai, X. Tong, D. A. Evans (Carnegie Mellon University)
22. Acquaintance: Language-Independent Document Categorization by N-Grams, page 359
    S. Huffman (Department of Defense)
23. TREC-4 Experiments at Dublin City University: Thresholding Posting Lists, Query Expansion with WordNet and POS Tagging of Spanish, page 373
    A. F. Smeaton, F. Kelledy and R. O'Donnell (Dublin City University)
24. The Excalibur TREC-4 System, Preparations, and Results, page 391
    P. Nelson (Excalibur Technologies)
25. Document Retrieval Using The MPS Information Server (A Report on the TREC-4 Experiment), page 401
    F. Schiettecatte, V. Florance (FS Consulting)
26. Interactive TREC-4 at Georgia Tech, page 421
    A. Veerasamy (Georgia Institute of Technology)
27. Improving Accuracy and Run-Time Performance for TREC-4, page 433
    D. A. Grossman (Office of Information Technology), D. O. Holmes (AT&T Global Information Solutions, O. Frieder (George Mason University), M. D. Nguyen (Coherent Design Systems), and C. E. Kingsbury (Hughes Applied Information Systems)
28. Using CONVECTIS, A Context Vector-Based Indexing System for TREC-4, page 443
    J. L. Carleton, W. R. Caid, R. V. Sasseen (HNC Software, Inc.)
29. Document Routing by Discriminant Projection: TREC-4, page 449
    K. F. Lai, V. A. S. Lee, and J. P. Chew (Information Technology Institute)
30. Boolean System Revisited: Its Performance and its Behavior, page 459
    X. A. Lu, J. D. Holt, D. J. Miller (Lexis-Nexis, a division of Reed Elsevier Inc.)
31. Improvements on Query Term Expansion and Ranking Formula, page 475
    K. Satoh, S. Akamine, A. Okumura (NEC Corporation)
32. A TREC Evaluation of Query Translation Methods For Multi-Lingual Text Retrieval, page 483
    M. Davis, T. Dunning (New Mexico State University)
33. Two Experiments on Retrieval With Corrupted Data and Clean Queries in the TREC-4 Adhoc Task Environment: Data Fusion and Pattern Scanning, page 499
    K. Bor Ng and P. B. Kantor (Rutgers University)
34. The Troubles with Using a Logical Model of IR on a Large Collection of Documents, page 509
    F. Crestani (Universita di Padova - Italy), I. Ruthven, M. Sanderson, C. J. van Rijsbergen (University of Glasgow-Scotland)
35. Automatic Word Similarity Detection for TREC-4 Query Expansion, page 527
    S. Gauch, M. K. Chong (University of Kansas)
36. Report on the TREC-4 Experiment: Combining Probabilistic and Vector-Space Schemes, page 537
    J. Savoy, M. Ndarugendamwo, D. Vrajitoru (Universite de Neuchatel, Switzerland)
37. TREC-4 Experiments using DRIFT, page 549
    C. L. Viles and J. C. French (University of Virginia)

APPENDICES

A. TREC-4 Results, page A-1

• Adhoc Results
• Routing Results
• Database Merge Results
• Confusion Results

• Filtering Results Explanation

Department of Defense Raw Data

Department of Defense Graphs

HNC Raw Data

HNC Graphs

Queens College Raw Data

Queens College Graphs

Xerox Raw Data

Xerox Graphs

• Spanish Results

B. System Features, page B-1

• Australian National University
• City University
• CLARITECH Corporation/Carnegie Mellon University
• Cornell University
• Department of Defense
• Dublin City University
• Excalibur Technologies Inc.
• FS Consulting
• GE/New York University
• George Mason University
• Georgia Institute of Technology
• HNC, Inc.
• InText Systems
• Information Technology Institute, Singapore
• Lexis-Nexis
• Logicon Operating Systems
• National University of Singapore
• NEC Corporation
• New Mexico State University
• Oracle Corporation
• Queens College, CUNY
• Royal Melbourne Institute of Technology
• Rutgers University (N. Belkin)
• Rutgers University (P. Kantor)
• Siemens Corporate Research Inc.
• Swiss Federal Institute of Technology
• University of California, Berkeley
• University of California, Los Angeles
• University of Central Florida
• University of Glasgow
• University of Kansas
• University of Massachusetts, Amherst
• Universite de Neuchatel
• University of Toronto
• University of Virginia
• University of Waterloo
• Xerox Palo Alto Research Center

C. Summary Performance Comparisons TREC2, TREC3, TREC4, page C-1
    K. Sparck-Jones (University of Cambridge)