Alphabetical Index of TREC-7 Papers by Organization

Alphabetical Index of TREC-7 Papers by Organization
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ACSys Overview of TREC-7 Very Large Collection Track, page 91 ACSys TREC-7 Experiments, page 299 AT&T Labs-Research AT&T at TREC-7, page 239 BBN Technologies BBN at TREC7: Using Hidden Markov Models for Information Retrieval, page 133 Cambridge University Spoken Document Retrieval For TREC-7 At Cambridge University, page 191 Summary Performance Comparisons TREC-2 Through TREC-7, page B-1 Canadian Imperial Bank of Commerce Applying SIGMA to the TREC-7 Filtering Track, page 313 Carnegie Mellon University Experiments in Spoken Document Retrieval at CMU, page 319 City University, London PLIERS AT VLC2, page 327 CLARITECH Corporation Effectiveness of Clustering in Ad-Hoc Retrieval, page 143 Threshold Calibration in CLARIT Adaptive Filtering, page 149 Commissariat Á l'Energie Atomique EMIR at the CLIR track of TREC7, page 337 CUNY, Queens College TREC-7 Ad-Hoc, High Precision and Filtering Experiments using PIRCS, page 343 DERA Malvern Experiments in Spoken Document Retrieval at DERA-SRU, page 353 Eurospider Information Technology/Swiss Federal Institute of Technology (ETH) Cross-Language Information Retrieval (CLIR) Track Overview, page 25 Fondazione Ugo Bordoni, Rome Information 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 Natural Language Information Retrieval: TREC-7 Report, page 217 Harris Corporation Information Retrieval and Visualization using SENTINEL, page 393 IBM T.J. Watson Research Center Audio-Indexing For Broadcast News, page 115 Ad hoc and Multilingual Information Retrieval at IBM, page 157 Illinois Institute of Technology Use of Query Concepts and Information Extraction 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 Kasetsart 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 Laboratoire d'Informatique d'Avignon (LIA)/Bertin & Cie 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 National Institute of Standards and Technology Overview of the Seventh Text REtrieval Conference (TREC-7), page 1 Topic by Topic Performance on Information Retrieval Systems, page 105 TREC-7 Interactive Track Report, page 65 1998 TREC-7 Spoken Document Retrieval Track Overview and Results, page 79 NEC Corporation and Tokyo Institute of Technology Ad Hoc Retrieval Experiments Using WordNet and Automatically Constructed Thesauri, page 475 New Mexico State University Documents thumbnail visualization for rapid relevance judgments: When do they pay off? 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, V LC 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 Rutgers University Rutgers' TREC-7 Interactive Track Experience, page 275 SabIR Research SMART High Precision: TREC 7, page 285 The TREC 7 High Precision Track, page 57 The TREC 7 Query Track, page 73 Seoul National University A Two-Stage Retrieval Model for the TREC-7 Ad Hoc Task, page 501 Swiss Federal Institute of Technology (ETH)/Eurospider Information Technology SPIDER Retrieval System at TREC7, page 509 Textwise LLC TREC-7 Evaluation of Conceptual Interlingua Document Retrieval (CINDOR) in English and French, page 169 TNO (TNO-TPD/TNO-HFRI) TNO TREC7 site report: SDR and filtering, page 519 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 Université de Montréal TREC-7 CLIR using a Probabilistic Translation Model, page 547 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 Sheffield, UK Retrieval Of Broadcast News Documents With The THISL System, page 181 University of Toronto ClickIR: Text Retrieval using a Dynamic Hypertext Interface, page 573 University of Twente/TNO-TPD Twenty-One at TREC7: 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 Xerox Research Centre Europe The TREC-7 Filtering Track: Description and Analysis, page 33 Figures
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