ADHOC
[Cross-Lingual]
[Filtering]
[High-Precision]
[Interactive]
[Query]
[SDR]
[VLC]
- ACSys
- ACSys TREC-7 Experiments, page 299
- AT&T
- AT&T at TREC-7, page 239
- BBN Technologies
- BBN at TREC7: Using Hidden Markov Models for Information Retrieval, page 133
- CLARITECH Corporation
- Effectiveness of Clustering in Ad-Hoc Retrieval, page 143
- CUNY, Queens College
- TREC-7 Ad-Hoc, High Precision, and Filtering Experiments using PIRCS, page 343
- Fondazione Ugo Bordoni, Rome
- Informative term selection for automatic query expansion, page 363
- FS Consulting, Inc.
- Document Retrieval Using The MPS Information Server (A Report on the TREC-7 Experiment), page 371
- Fujitsu Laboratories Ltd.
- Fujitsu Laboratories TREC7 Report, page 383
- GE Research & Development
- National Language Information Retrieval: TREC-7 Report, page 217
- Harris Corporation
- Information Retrieval and Visualization using SENTINEL, page 393
- IBM T.J. Watson Research Center
- Ad hoc and Multilingual Information Retrieval at IBM, page 157
- Illinois Institute of Technology
- Use of Query Concepts and Information Extractions to Improve Information Retrieval Effectiveness, page 399
- Imperial College of Science, Technology and Medicine
- Feature Reduction for Information Retrieval, page 409
- IRIT/SIG
- Mercure at trec7, page 413
- The Johns Hopkins University
- Indexing Using Both N-Grams and Words, page 419
- Kasesart University
- DSIR: the First TREC-7 Attempt, page 425
- KDD R&D Laboratories, Inc.
- TREC-7 Experiments: Query Expansion Method Based on Word Contribution, page 433
- Laboratorie d'Informatique d'Avignon (LIA)
- Query Expansion and Classification of Retrieved Documents, page 443
- LEXIS-NEXIS
- Experiments in Query Processing at LEXIS-NEXIS for TREC 7, page 451
- Management Information Technologies, Inc.
- Readware® Text Analysis and Retrieval In TREC-7, page 461
- MDS
- TREC 7 Ad Hoc, Speech, and Interactive tracks at MDS/CSIRO, page 465
- NEC Corporation and Tokyo Institute of Technology
- Ad Hoc Retrieval Experiments Using WordNet and Automatically Constructed Thesauri, page 475
- NTT DATA Corporation
- NTT DATA at TREC-7: system approach for ad-hoc and filtering, page 481
- Okapi
- Okapi at TREC-7: automatic ad hoc, filtering, VLC and interactive, page 253
- SabIR Research
- SMART High Precision: TREC 7, page 285
- Seoul National University
- A Two-Stage Retrieval Model for the TREC-7 Ad Hoc Task, page 501
- Swiss Federal Institute of Technology (ETH)
- SPIDER Retrieval System at TREC7, page 509
- University of California at Berkeley
- Manual Queries and Machine Translation in Cross-Language Retrieval and Interactive Retrieval with Cheshire II at TREC-7, page 527
- University of Iowa
- Cluster-Based Adaptive and Batch Filtering, page 265
- University of Maryland, College Park
- TREC-7 Experiments at the University of Maryland, page 541
- University of Massachusetts
- INQUERY and TREC-7, page 201
- University of North Carolina
- IRIS at TREC-7, page 555
- University of North Carolina at Chapel Hill
- Information Space Gets Normal, page 567
- University of Toronto
- ClickIR: Text Retrieval using a Dynamic Hypertext Interface, page 573
- University of Twente/TNO-TPD
- Twenty-One at TREC-7: Ad-hoc and Cross-Language track, page 227
- University of Waterloo
- Deriving Very Short Queries for High Precision and Recall (MultiText Experiments for TREC-7), page 121
- U.S. Department of Defense
- Text Retrieval via Semantic Forests: TREC7, page 583
CROSS-LINGUAL
[Adhoc]
[Filtering]
[High-Precision]
[Interactive]
[Query]
[SDR]
[VLC]
- Commissariat à l'Energie Atomique
- EMIR at the CLIR track of TREC7, page 337
- Eurospider Information Technology
- SPIDER Retrieval System at TREC7, page 25
- IBM T.J. Watson Research Center
- Ad hoc and Multilingual Information Retrieval at IBM, page 157
- Swiss Federal Institute of Technology (ETH)
- SPIDER Retrieval System at TREC7, page 509
- TextWise LLC
- TREC-7 Evaluation of Conceptual Interlingua Document Retrieval (CINDOR) in English and French, page 169
- Université de Montréal
- TREC-7 CLIR using a Probabilistic Translation Model, page 547
- University of California at Berkeley
- Manual Queries and Machine Translation in Cross-language Retrieval and Interactive Retrieval with Chesire II at TREC-7, page 527
- University of Maryland, College Park
- TREC-7 Experiments at the University of Maryland, page 541
- University of Twente/TNO-TPD
- Twenty-One at TREC-7: Ad-hoc and Cross-language track, page 227
FILTERING
[Adhoc]
[Cross-Lingual]
[High-Precision]
[Interactive]
[Query]
[SDR]
[VLC]
- AT&T
- AT&T at TREC-7, page 239
- Canadian Imperial Bank of Commerce
- Applying SIGMA to the TREC-7 Filtering Track, page 313
- CLARITECH Corporation
- Threshold Calibration in CLARIT Adaptive Filtering, page 149
- CUNY, Queens College
- TREC-7 Ad-Hoc, High Precision and Filtering Experiments using PIRCS, page 343
- IRIT/SIG
- Mercure at trec7, page 413
- NTT DATA Corporation
- NTT DATA at TREC-7: system approach for ad-hoc and filtering, page 481
- Okapi
- Okapi at TREC-7: automatic ad hoc, filtering, VLC and interactive, page 253
- TNO
- TNO TREC7 site report: SDR and filtering, page 519
- University of Iowa
- Cluster-Based Adaptive and Batch Filtering, page 265
- University of Massachusetts
- INQUERY and TREC-7, page 201
- Xerox Research Centre Europe
- The TREC-7 Filtering Track: Description and Analysis, page 33
Figures
HIGH-PRECISION
[Adhoc]
[Cross-Lingual]
[Filtering]
[Interactive]
[Query]
[SDR]
[VLC]
- ACSys
- ACSys TREC-7 Experiments, page 299
- CUNY, Queens College
- TREC-7 Ad-Hoc, High Precision and Filtering Experiments using PIRCS, page 343
- SabIR Research
- SMART High Precision: TREC 7, page 285
- The TREC 7 High Precision Track, page 57
- University of Waterloo
- Deriving Very Short Queries for High Precision and Recall (MultiText Experiments for TREC-7), page 121
INTERACTIVE
[Adhoc]
[Cross-Lingual]
[Filtering]
[High-Precision]
[Query]
[SDR]
[VLC]
- MDS
- TREC 7 Ad Hoc, Speech, and Interactive tracks at MDS/CSIRO, page 465
- National Institute of Standards and Technology
- TREC-7 Interactive Track Report, page 65
- New Mexico State University
- Document thumbnail visualization for rapid relevance judgments: When do they pay off?
- Okapi
- Okapi at TREC-7: automatic ad hoc, filtering, VLC and interactive, page 253
- Oregon Health Sciences University
- A Large-Scale Comparison of Boolean vs. Natural Language Searching for the TREC-7 Interactive Track, page 491
- Rugers University
- Rutgers' TREC-7 Interactive Track Experience, page 275
- University of California at Berkeley
- Manual Queries and Machine Translation in Cross-language Retrieval and Interactive Retrieval with Cheshire II at TREC-7, page 527
- University of North Carolina
- IRIS at TREC-7, page 555
- University of Toronto
- ClickIR: Text Retrieval using a Dynamic Hypertext Interface, page 573
QUERY
[Adhoc]
[Cross-Lingual]
[Filtering]
[High-Precision]
[Interactive]
[SDR]
[VLC]
- The Johns Hopkins University
- Indexing Using Both N-Grams and Words, page 419
- SabIR Research, Inc.
- The TREC 7 Query Track, page 73
SDR
[Adhoc]
[Cross-Lingual]
[Filtering]
[High-Precision]
[Interactive]
[Query]
[VLC]
- AT&T
- AT&T at TREC-7, page 239
- Cambridge University
- Spoken Document Retrieval For TREC-7 At Cambridge University, page 191
- Summary Performance Comparisons TREC-2 Through TREC-7, page B-1
- Carnegie Mellon University
- Experiments in Spoken Document Retireval at CMU, page 319
- DERA Malvern
- Experiments in Spoken Document Retrieval at DERA-SRU, page 353
- IBM T.J. Watson Research Center
- Audio-Indexing For Broadcast News, page 115
- MDS
- TREC 7 Ad Hoc, Speech, and Interactive tracks at MDS/CSIRO, page 465
- National Institute of Standards and Technology
- 1998 TREC-7 Spoken Document Retrieval Track Overview and Results, page 79
- TNO
- TNO TREC7 site report: SDR and filtering, page 519
- University of Maryland, College Park
- TREC-7 Experiments at the University of Maryland, page 541
- University of Massachusetts
- INQUERY and TREC-7, page 201
- University of Sheffield, UK
- Retrieval of Broadcast News Documents With The THISL System, page 181
- U.S. Department of Defense
- Text Retrieval via Semantic Forests: TREC7, page 583
VLC
[Adhoc]
[Cross-Lingual]
[Filtering]
[High-Precision]
[Interactive]
[Query]
[SDR]
- ACSys
- Overview of TREC-7 Very Large Collection, page 91
- ACSys TREC-7 Experiments, page 299
- AT&T
- AT&T at TREC-7, page 239
- City University, London
- PLIERS AT VLC2, page 327
- FS Consulting, Inc.
- Document Retrieval Using The MPS Information Server (A Report on the TREC-7 Experiment), page 371
- Okapi
- Okapi at TREC-7: automatic ad hoc, filtering, VLC and interactive, page 253
- University of Massachusetts
- INQUERY and TREC-7, page 201
- University of Waterloo
- Deriving Very Short Queries for High Precision and Recall (MultiText Experiments for TREC-7), page 121
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