Cross-Language
[Filtering]
[Interactive]
[Novelty]
[Question Answering]
[Web]
[Video]
- BBN Technologies
-
-
TREC 2002 Cross-lingual Retrieval at BBN, page 102
- Hummingbird
-
-
Experiments in Named Page Finding and Arabic Retrieval with Hummingbird
SearchServerTM at TREC 2002, page 248
IBM T.J. Watson Research Center
-
-
Arabic Information Retrieval at IBM, page 260
- Illinois Institute of Technology
-
IIT at TREC-11 Linear Combinations Based on Document Structure and Varied Stemming for Arabic Retrieval, page 299
- Johns Hopkins University
-
-
JHU/APL at TREC 2002: Experiments in Filtering and Arabic Retrieval, page 358
- University of California, Berkeley
-
The TREC 2002 Arabic/English CLIR Track, page 17
-
Building an Arabic Stemmer for Information Retrieval, page 631
- University of Maryland
-
The TREC 2002 Arabic/English CLIR Track, page 17
-
-
CLIR Experiments at Maryland for TREC 2002: Evidence Combination for
Arabic-English Retrieval, page 703
- University of Massachusetts
-
-
UMass at TREC 2002: Cross Language and Novelty Tracks, page 721
- Université de Neuchâtel
-
Report on the TREC 11 Experiment: Arabic, Named Page and Topic Distillation Searches, page 765
Filtering
[Cross-Language]
[Interactive]
[Novelty]
[Question Answering]
[Web]
[Video]
- Åbo Akademi University
-
-
Example Based Text Matching Methodology for Routing Tasks, page 573
- Carnegie Mellon University
-
Information Filtering, Novelty Detection, and Named-Page Finding, page 107
- Chinese Academy of Sciences
-
-
TREC 11 Experiments at CAS-ICT: Filtering and Web, page 141
- Clairvoyance Corporation
-
-
CLARIT Experiments in Batch Filtering: Term Selection and Threshold
Optimization in IR and SVM Filters, page 166
- Laboratoire CLIPS
-
-
CLIPS at TREC 11: Experiments in Filtering, page 176
- Fudan University
-
FDU at TREC 2002: Filtering, Q&A, Web and Video Tasks, page 232
- Institut de Recherche en Informatique de Toulouse (IRIT-SIG)
-
-
IRIT at TREC 2002: Filtering Track, page 337
- Johns Hopkins University
-
-
JHU/APL at TREC 2002: Experiments in Filtering and Arabic Retrieval, page 358
- Kermit Group
-
-
Kernel Methods for Document Filtering, page 373
- Microsoft Research Ltd.
-
-
Microsoft Cambridge at TREC 2002: Filtering Track, page 27
-
-
The TREC 2002 Filtering Track Overview, page 439
- National Institute of Informatics (NII)
-
TREC 11 Experiments at NII: The Effects of Virtual Relevant Documents in Batch Filtering, page 467
- National Institute of Standards and Technology
-
The TREC 2002 Filtering Track Overview, page 27
- Pori School of Technology and Economics
-
-
Example Based Text Matching Methodology for Routing Tasks, page 573
- Queens College, CUNY
-
-
TREC 2002 Web, Novelty and Filtering Track Experiments using PIRCS, page 520
- State University of New York at Buffalo
-
-
UB at TREC 11: Batch and Adaptive Filtering, page 557
- Rutgers University
-
-
Rutgers Filtering Work at TREC 2002: Adaptive and Batch, page 549
- Tampere University of Technology
-
-
Example Based Text Matching Methodology for Routing Tasks, page 573
- Tsinghua University
-
-
Incremental Learning for Profile Training in Adaptive Document Filtering,page 582
- University of Hertfordshire
-
-
Incremental Retrieval of Documents Relevant to a Topic, page 652
- University of Iowa
-
Novel Results and Some Answers The University of Iowa TREC 11 Results, page 686
- University of North Texas
-
-
Classifier Stacking and Voting for Text Filtering, page 775
Interactive
[Novelty]
[Cross-Language]
[Filtering]
[Question Answering]
[Web]
[Video]
- Australian National University
-
TREC 11 Web and Interactive Tracks at CSIRO, page 197
- Oregon Health and Science University
-
TREC 2002 Interactive Track Report, page 40
-
More Statistical Power Needed: The OHSU TREC 2002 Interactive Track Experiments, page 505
- Queens College, CUNY
-
Rutgers Interactive Track at TREC 2002, page 539
- RMIT University
-
TREC 11 Web and Interactive Tracks at CSIRO, page 197
- Rutgers University
-
Rutgers Interactive Track at TREC 2002, page 539
- University of Glasgow
-
Using Hierarchical Clustering and Summarisation Approaches for Web Retrieval: Glasgow at the TREC 2002 Interactive Track, page 640
- University of North Carolina Chapel Hill
-
-
Progress in General-Purpose IR Software, page 758
- University of Toronto
-
Augmenting and Limiting Search Queries, page 813
Novelty
[Cross-Language]
[Filtering]
[Interactive]
[Question Answering]
[Web]
[Video]
- Carnegie Mellon University
-
Information Filtering, Novelty Detection, and Named-Page Finding, page 107
- Columbia University
-
Experiments in Novelty Detection at Columbia University, page 188
- Institut de Recherche en Informatique de Toulouse
-
Novelty Track at IRIT-SIG, page 332
- Institut Universitaire de Formation des Maîtres Midi-Pyrénées
-
Novelty Track at IRIT-SIG, page 332
- IUT URS
-
Novelty Track at IRIT-SIG, page 332
- National Institute of Standards and Technology
-
Overview of the TREC 2002 Novelty Track, page 46
- National Taiwan University
-
Some Similarity Computation Methods in Novelty Detection, page 476
- NTT Communication Science Laboratories
-
A Machine Learning Approach for QA and Novelty Tracks: NTT System Description, page 472
- Queens College, CUNY
-
TREC 2002 Web, Novelty and Filtering Track Experiments using PIRCS, page 520
- StreamSage, Inc.
-
A Crude Cut at Query Expansion, page 564
- Tsinghua University
-
THU TREC 2002: Novelty Track Experiments, page 591
- University of Amsterdam
-
The University of Amsterdam at TREC 2002, page 603
- University of Iowa
-
Novel Results and Some Answers The University of Iowa TREC 11 Results, page 686
- University of Massachusetts
-
UMass at TREC 2002: Cross Language and Novelty Tracks, page 721
- University of Michigan
-
The University of Michigan at TREC 2002: Question Answering and Novelty Tracks, page 733
Question Answering
[Cross-Language]
[Filtering]
[Interactive]
[Novelty]
[Web]
[Video]
- Advanced Information Technology Research Center (AITrc)
-
Question Answering Approach Using a WordNet-based Answer Type Taxonomy, page 512
- BBN Technologies
-
TREC 2002 QA at BBN: Answer Selection and Confidence Estimation, page 96
- Carnegie Mellon University
-
The JAVELIN Question-Answering System at TREC 2002, page 128
- Chinese Academy of Sciences
ICT Experiments in TREC 11 QA Main Task, page 138
- CL Research
-
Question Answering Using XML-Tagged Documents, page 156
- Columbia University
-
Building a Foundation System for Producing Short Answers to Factual Questions, page 621
- Concordia University
-
The QUANTUM Question Answering System at TREC 11, page 750
- Fudan University
-
FDU at TREC 2002: Filtering, Q&A, Web and Video Tasks, page 232
- IBM T.J. Watson Research Center
-
IBM's Statistical Question Answering System-TREC 11, page 273
-
A Multi-Strategy and Multi-Source Approach to Question Answering, page 281
- InsightSoft-M
-
Use of Patterns for Detection of Likely Answer Strings: A Systematic Approach, page 325
- ITC-Irst
-
Mining Knowledge from Repeated Co-Occurrences: DIOGENE at TREC 2002, page 349
- Language Computer Corporation
-
LCC Tools for Question Answering, page 388
- Laboratoire d'Informatique d'Avignon
-
Coupling Named Entity Recognition, Vector-Space Model and Knowledge Bases for TREC 11 Question Answering Track, page 398
- LIMSI-CNRS
-
The Question Answering System QALC at LIMSI, Experiments in Using Web and WordNet, page 407
-
-
Building a Foundation System for Producing Short Answers to Factual Questions, page 621
- MIT
-
Extracting Answers from the Web Using Data Annotation and Knowledge Mining Techniques, page 447
- The MITRE Corporation
-
MITRE's Qanda at TREC-11, page 457
- National Institute of Standards and Technology
-
Overview of the TREC 2002 Question Answering Track, page 57
- NTT Communication Science Laboratories
-
A Machine Learning Approach for QA and Novelty Tracks: NTT System Description, page 472
- National University of Singapore
-
The Integration of Lexical Knowledge and External Resources for Question Answering, page 486
-
Web Based Pattern Mining and Matching Approach to Question Answering, page 497
- POSTECH
-
Question Answering Approach Using a WordNet-based Answer Type Taxonomy, page 512
- Sinequa S.A.S.
-
Coupling Named Entity Recognition, Vector-Space Model and Knowledge Bases for TREC 11 Question Answering Track, page 398
- Singapore-MIT Alliance
-
Web Based Pattern Mining and Matching Approach to Question Answering, page 497
- Syracuse University
-
Question Answering: CNLP at the TREC 2002 Question Answering Track, page 565
- Universidad de Alicante
-
University of Alicante Experiments at TREC 2002, page 595
- University of Amsterdam
-
The University of Amsterdam at TREC 2002, page 603
- University of Colorado
-
Building a Foundation System for Producing Short Answers to Factual Questions, page 621
- University of Illinois at Urbana-Champaign
-
Question-Answering via Enhanced Understanding of Questions, page 667
- The University of Iowa
-
Novel Results and Some Answers The University of Iowa TREC 11 Results, page 686
-
MITRE's Qanda at TREC-11, page 457
- University of Limerick
-
Question Answering Using the DLT System at TREC 2002, page 677
- University of Michigan
-
The University of Michigan at TREC 2002: Question Answering and Novelty Tracks, page 733
- Université de Montréal
-
The QUANTUM Question Answering System at TREC 11, page 750
- University of Pisa
-
PiQASso 2002, page 781
- University of Sheffield
-
The University of Sheffield TREC 2002 Q&A System, page 791
- University of Southern California
-
Natural Language Based Reformulation Resource and Wide Exploitation for Question Answering, page 801
- University of Waterloo
-
Statistical Selection of Exact Answers (MultiText Experiments for TREC 2002), page 823
- University of York
-
The York QA Prototype Question Answering System, page 832
Video
[Cross-Language]
[Filtering]
[Interactive]
[Novelty]
[Web]
[Question Ansering]
- Carnegie Mellon University
-
Video Classification and Retrieval with the Informedia Digital Video Library System, page 119
- CLIPS-IMAG
-
CLIPS at TREC 11: Experiments in Video Retrieval, page 176
- Columbia University
-
IBM Research TREC 2002 Video Retrieval System, page 289
- CWI
-
CWI at the TREC 2002 Video Track, page 207
- Dublin City University
-
The TREC-2002 Video Track Report, page 69
-
Dublin City University Video Track Experiments for TREC 2002, page 217
- Fudan University
-
FDU at TREC 2002: Filtering, Q&A, Web and Video Tasks, page 227
- Institut Eurécom
-
Semantic Feature Extraction using Mpeg Macro-block Classification, page 232
- IBM Alamaden Research Center
-
IBM Research TREC 2002 Video Retrieval System, page 289
- IBM India Research Lab
-
IBM Research TREC 2002 Video Retrieval System, page 289
- IBM T.J. Watson Research Center
-
IBM Research TREC 2002 Video Retrieval System, page 289
- Indiana University
-
Video Searching and Browsing Using Viewfinder, page 311
- Imperial College London
-
Video Retrieval Using Global Features in Keyframes, page 318
- Mediamill/ISIS University of Amsterdam
-
TREC Feature Extraction by Active Learning, page 429
- Mediamill TNO-TPD
-
TREC Feature Extraction by Active Learning, page 429
- Media Team Oulu
TREC 2002 Video Track Experiments at MediaTeam Oulu and VTT, page 417
- National Institute of Standards and Technology
-
The TREC-2002 Video Track Report, page 69
- National University of Singapore
-
Temporal Multi-Resolution Framework for Shot Boundary Detection and Keyframe Extraction, page 492
- RMIT University
-
Shot Boundary Detection Using the Moving Query Window, page 529
- TNO-Human Factors
-
TREC Feature Extraction by Active Learning, page 429
- University of Bremen
-
Automatic Shot Boundary Detection and Classification of Indoor and Outdoor Scenes, page 615
- University of Bristol
-
Video Retrieval Using Global Features in Keyframes, page 318
- University of Maryland
-
Video Indexing and Retrieval at UMD, page 711
- University of Oulu
-
Video Indexing and Retrieval at UMD, page 711
- VTT Technical Research Center of Finland
TREC 2002 Video Track Experiments at MediaTeam Oulu and VTT, page 417
Web
[Cross-Language]
[Filtering]
[Interactive]
[Video]
[Question Ansering]
- Australian National University
-
TREC 11 Web and Interactive Tracks at CSIRO, page 197
- Carnegie Mellon University
-
Information Filtering, Novelty Detection, and Named-Page Finding, page 107
- Chinese Academy of Sciences
-
TREC 11 Experiments at CAS-ICT: Filtering and Web, page 141
- City University, London
-
Pliers at TREC 2002, page 152
- CSIRO
-
Overview of the TREC 2002 Web Track, page 86
-
TREC 11 Web and Interactive Tracks at CSIRO, page 197
- Electronics and Telecommunications Research Institute
-
Web Document Retrieval Using Sentence-Query Similarity, page 835
- Fondazione Ugo Bordoni
-
University of Glasgow at the Web Track of TREC 2002, page 645
- Fudan University
-
FDU at TREC 2002: Filtering, Q&A, Web and Video Tasks, page 232
- Hummingbird
-
Experiments in Named Page Finding and Arabic Retrieval with Hummingbird SearchServerTM at TREC 2002, page 248
- IBM Research Labs Haifa
-
Topic Distillation with Knowledge Agents, page 263
- Illinois Institute of Technology
-
IIT at TREC 2002 Linear Combinations Based on Document Structure and Varied Stemming for Arabic Retrieval, page 299
- IRIT-SIG
-
IRIT at TREC 2002: Web Track, page 345
- Kasetsart University
-
Finding Named Pages via Frequent Anchor Descriptions, page 364
- Laboratories for Information Technology (LIT)
-
LIT at TREC 2002: Web Track, page 383
- Queens College, CUNY
-
TREC 2002 Web, Novelty and Filtering Track Experiments using PIRCS, page 520
- RMIT University
-
TREC 11 Web and Interactive Tracks at CSIRO, page 197
- Technion
-
Topic Distillation with Knowledge Agents, page 263
- Tsinghua University
-
THU TREC 2002: Web Track Experiments, page 586
- University of Amsterdam
-
The University of Amsterdam at TREC 2002, page 603
- University of Glasgow
-
University of Glasgow at the Web Track of TREC 2002, page 645
- University of Illinois at Chicago
-
UIC at TREC 2002: Web Track, page 658
- University of Maryland, Baltimore County
CARROTT 11 and the TREC 11 Web Track, page 693
- University of Melbourne
-
Homepage Finding and Topic Distillation Using a Common Retrieval Strategy, page 733
- Université de Neuchâtel
Report on the TREC 11 Experiment: Arabic, Named Page and Topic Distillation Searches, page 765
- University of Sunderland
-
TREC 2002 Web Track "Automated Word Sense Disambiguation for Internet Information Retrieval", page 810
- University of Waterloo
-
Statistical Selection of Exact Answers (MultiText Experiments for TREC 2002), page 823
- Yonsei University
-
Web Document Retrieval Using Sentence-Query Similarity, page 835
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Last updated: Thursday, 18-Dec-2003 14:37:44 UTC
Date created: Thursday, 03-April-10
trec@nist.gov |
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