- AT&T Labs-Research
- AT&T at TREC-6, page 215
- AT&T at TREC-6: SDR Track, page 227
- Australian National University
- Overview of TREC-6 Very Large Collection Track, page 93
- ANU/ACSys TREC-6 Experiments, page 275
- Carnegie Mellon University
- Experiments in Spoken Document Retrieval at CMU, page 291
- Center for Information Research, Russia
- Conceptual Indexing Using Thematic Representation of Texts, page 403
- City University, London
- Interactive Okapi at TREC-6 , page 143
- Okapi at TREC-6 Automatic ad hoc, VLC, routing, filtering and QSDR, page 125
- Okapi Chinese text retrieval experiments at TREC-6, page 137
- Cornell University
- Using Clustering and SuperConcepts Within SMART : TREC 6, page 107
- CSIRO (Australia)
- Chinese Document Retrieval at TREC-6, page 25
- CSIRO Routing and Ad-Hoc Experiments at TREC-6, page 455
- Daimler-Benz AG
- Daimler Benz Research: System and Experiments Routing and Filtering, page 329
- Dublin City University
- Ad hoc Retrieval Using Thresholds, WSTs for French Mono-lingual Retrieval, Document-at-a-Glance for High Precision and Triphone Windows for Spoken Documents, page 461
- Duke University
- Automatic 3-Language Cross-Language Information Retrieval with Latent Semantic Indexing, page 233
- FS Consulting, Inc.
- Document Retrieval Using The MPS Information Server (A Report on the TREC-6 Experiment), page 477
- GE Corporate Research & Development
- Natural Language Information Retrieval TREC-6 Report, page 347
- George Mason University
- Expanding Relevance Feedback in the Relational Model, page 489
- Harris Corporation
- Ad Hoc Retrieval with Harris SENTINEL, page 503
- IBM T.J. Watson Research Center
- TREC-6 Ad-Hoc Retrieval, page 511
- The GURU System in TREC-6, page 535
- IBM Thomas J. Watson Research Center, Hawthorne
- IBM Search UI Prototype Evaluation at the Interactive Track of TREC-6, page 517
- IRIT/SIG
- Mercure at trec6, page 321
- ISS, Singapore
- Concrete Queries in Specialized Domains: Known Item as Feedback for Query Formulation, page 541
- Preliminary Qualitative Analysis of Segmented vs Bigram Indexing in Chinese, page 551
- ITI, Singapore
- Experiments on Proximity Based Chinese Text Retrieval in TREC 6, page 559
- Laboratoire CLIPS, IMAG
- Between Terms and Words for European Language IR and Between Words and Bigrams for Chinese IR, page 697
- Microsoft Research
- Automatic 3-Language Cross-Language Information Retrieval with Latent Semantic Indexing, page 233
- National Institute of Standards and Technology
- Overview of the Sixth Text REtrieval Conference (TREC-6), page 1
- TREC-6 Interactive Report, page 73
- TREC-6 1997 Spoken Document Retrieval Track Overview and Results, page 83
- NEC Corporation
- Query Term Expansion based on Paragraphs of the Relevant Documents, page 577
- New Mexico State University
- Interactive information retrieval using term relationship networks, page 379
- Free Resources And Advanced Alignment For Cross-Language Text Retrieval, page 385
- Oregon Health Sciences University
- A Comparison of Boolean and Natural Language Searching for the TREC-6 Interactive Task, page 585
- Queens College, CUNY
- TREC-6 English and Chinese Retrieval Experiments using PIRCS, page 207
- RMIT
- MDS TREC6 Report, page 241
- Rutgers University
- Application of Logical Analysis of Data to the TREC-6 Routing Task, page 611
- Rutgers' TREC-6 Interactive Track Experience, page 597
- SabIR Research Inc.
- TREC 6 High-Precision Track, page 69
- Using Clustering and SuperConcepts Within SMART : TREC 6, page 107
- Siemens AG
- The text categorization system TEKLIS at TREC-6, page 619
- SRI International
- Using Information Extraction to Improve Document Retrieval, page 367
- Swiss Federal Institute of Technology (ETH)
- Cross-Language Information Retrieval (CLIR) Track Overview, page 31
- ETH TREC-6: Routing, Chinese, Cross-Language and Spoken Document Retrieval, page 623
- TwentyOne (TNO/U-Twente/DFKI/Xerox/U-Tuebingen)
- Cross Language Retrieval with the Twenty-One system, page 753
- University of California, Berkeley
- Phrase Discovery for English and Cross-language Retrieval at TREC 6, page 637
- Cheshire II at TREC 6: Interactive Probabilistic Retrieval, page 649
- University of California, San Diego
- Fusion Via Linear Combination for the Routing Problem, page 661
- University of Cambridge
- Summary Performance Comparisons TREC-2, TREC-3, TREC-4, TREC-5, TREC-6, page B-1
- TREC-6 1997 Spoken Document Retrieval Track Overview and Results, page 83
- University of Colorado
- Automatic 3-Language Cross-Language Information Retrieval with Latent Semantic Indexing, page 233
- University of Glasgow
- Short Queries, Natural Language and Spoken Document Retrieval: Experiments at Glasgow University, page 667
- University of Maryland, College Park
- Document Translation for Cross-Language Text Retrieval at the University of Maryland, page 687
- University of Massachusetts, Amherst
- INQUERY Does Battle With TREC-6, page 169
- Université de Montréal
- Between Terms and Words for European Language IR and Between Words and Bigrams for Chinese IR, page 697
- University of North Carolina
- Interactive Retrieval using IRIS: TREC-6 Experiments, page 711
- University of North Carolina at Chapel Hill
- Context-Based Statistical Sub-Spaces, page 735
- University of Sheffield, UK
- The THISL Spoken Document Retrieval System, page 747
- University of Waterloo
- Passage-Based Refinement (MultiText Experiements for TREC-6), page 303
- U.S. Department of Defense
- Text Retrieval via Semantic Forests, page 761
- Verity, Inc.
- Verity at TREC-6: Out-of-the-Box and Beyond, page 259
- Xerox Research Centre Europe
- The TREC-6 Filtering Track: Description and Analysis, page 45
- Xerox TREC-6 Site Report: Cross Language Text Retrieval, page 775
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