TABLE OF CONTENTS
FOREWORD
ABSTRACT
PAPERS
- Overview of the Fourth Text REtrieval Conference (TREC-4), page 1
D. Harman (National Institute of Standards and Technology)
- New Retrieval Approaches Using SMART: TREC 4 , page 25
C. Buckley, A. Singhal, M. Mitra, (G. Salton) (Cornell University)
- Recent Experiments with INQUERY, page 49
J. Allan, L. Ballesteros, J. P. Callan, W. B. Croft, Z. Lu (University of Massachusetts, Amherst)
- 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)
- Okapi at TREC-4, page 73
S. E. Robertson, S. Walker, M. M. Beaulieu, M. Gatford, A. Payne
(City University, London)
- 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)
- Siemens TREC-4 Report: Further Experiments with Database Merging, page 121
Ellen M. Voorhees (Siemens Corporate Research, Inc.)
- Proximity Operators - So Near And Yet So Far, page 131
D. Hawking and P. Thistlewaite (Australian National University)
- TREC-4 Ad-Hoc, Routing Retrieval and Filtering Experiments using PIRCS, page 145
K.L. Kwok and L. Grunfeld (Queens College, CUNY)
- Research in Automatic Profile Generation and Passage-Level Routing with LMDS, page 153
J. Yochum (Logicon, Inc.)
- The TREC-4 Filtering Track, page 165
D. Lewis (AT&T Research)
- Using Relevance Feedback and Ranking in Interactive Searching , page 181
N. J. Belkin, C. Cool, J. Koenemann, K. Bor Ng, S. Park (Rutgers University)
- 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)
- 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))
- Natural Language Information Retrieval: TREC-4 Report, page 245
T. Strzalkowski (GE Corporate Research & Development) and J. P. Carballo (Courant Institute of Mathematical Sciences)
- Multi-lingual Text Filtering Using Semantic Modeling, page 245
J. D. Driscoll (Praxis Technologies), S. Abbott, K. Hu, M. Miller, G. Theis (University of Central Florida)
- Similarity Measures for Short Queries, page 277
R. Wilkinson, J. Zobel, R. Sacks-Davis (Royal Melbourne Institute of Technology)
- InTEXT Precision Indexing in TREC-4 , page 287
M. Burnett, C. Fisher, R. Jones (InText Systems)
- Shortest Substring Ranking (MultiText Experiments for TREC-4), page 295
C. L. A. Clarke, G. V. Cormack, F. J. Burkowski (University of Waterloo)
- CLARIT TREC-4 Experiments, page 305
D. A. Evans (CLARITECH Corporation/Carnegie Mellon University), N. Milic-Frayling, R. G. Lefferts (CLARITECH Corporation)
- 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)
- Acquaintance: Language-Independent Document Categorization by N-Grams, page 359
S. Huffman (Department of Defense)
- 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)
- The Excalibur TREC-4 System, Preparations, and Results, page 391
P. Nelson (Excalibur Technologies)
- Document Retrieval Using The MPS Information Server (A Report on the TREC-4 Experiment), page 401
F. Schiettecatte, V. Florance (FS Consulting)
- Interactive TREC-4 at Georgia Tech, page 421
A. Veerasamy (Georgia Institute of Technology)
- 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)
- 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.)
- Document Routing by Discriminant Projection: TREC-4, page 449
K. F. Lai, V. A. S. Lee, and J. P. Chew (Information Technology Institute)
- 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.)
- Improvements on Query Term Expansion and Ranking Formula, page 475
K. Satoh, S. Akamine, A. Okumura (NEC Corporation)
- A TREC Evaluation of Query Translation Methods For Multi-Lingual Text Retrieval, page 483
M. Davis, T. Dunning (New Mexico State University)
- 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)
- 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)
- Automatic Word Similarity Detection for TREC-4 Query Expansion, page 527
S. Gauch, M. K. Chong (University of Kansas)
- Report on the TREC-4 Experiment: Combining Probabilistic and Vector-Space Schemes, page 537
J. Savoy, M. Ndarugendamwo, D. Vrajitoru (Universite de Neuchatel, Switzerland)
- 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
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Department of Defense Raw Data
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Department of Defense Graphs
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HNC Raw Data
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HNC Graphs
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Queens College Raw Data
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Queens College Graphs
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Xerox Raw Data
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Xerox Graphs
- B.
System Features, page B-1
- C.
Summary Performance Comparisons TREC2, TREC3, TREC4, page C-1
K. Sparck-Jones (University of Cambridge)
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