- AOL, Inc.
IIT at TREC-10, page 265
- Carnegie Mellon University
The Bias Problem and Language Models in Adaptive Filtering, page 78
kNN, Rocchio and Metrics for Information Filtering at TREC-10, page 84
Video Retrieval with the Informedia Digital Video Library System, page 94
Experiments Using the Lemur Toolkit, page 103
Use of WordNet Hypernyms for Answering What-Is Questions, page 250
- Chinese Academy of Sciences
TREC-10 Experiments at CAS-ICT: Filtering, Web and QA, page 109
- Clairvoyance Corp.
Topic-Specific Optimization and Structuring, page 132
- CLIPS-IMAG
TREC-10 Shot Boundary Detection Task: CLIPS System Description and Evaluation, page 142
- CL Research
CL Research Experiments in TREC-10 Question Answering, page 122
- Concordia University
The QUANTUM Question Answering System, page 579
- CSIRO
Overview of the TREC-2001 Web Track, page 61
TREC10 Web and Interactive Tracks at CSIRO, page 151
- CUNY
TREC2001 Question-Answer, Web and Cross Language Experiments using PIRCS, page 452
- CWI
Lazy Users and Automatic Video Retrieval Tools in (the) Lowlands, page 159
- DiQuest.com, Inc.
SiteQ: Engineering High Performance QA System Using Lexico-Semantic Pattern Matching and Shallow NLP, page 442
- Dublin City University
Dublin City University Video Track Experiments for TREC 2001, page 169
The TREC-2001 Video Track Report, page 52
- EC Wise, Inc.
Word Proximity QA System, page 179
- Fondazione Ugo Bordoni
FUB at TREC-10 Web Track: A Probabilistic Framework for Topic Relevance Term Weighting, page 182
- Fudan University
FDU at TREC-10: Filtering, QA, Web and Video Tasks, page 192
- Fujitsu Laboratories, Ltd.
Fujitsu Laboratories TREC2001 Report, page 208
- Hummingbird
Hummingbird SearchServer at TREC 2001, page 216
- IBM Almaden Research Center
Integrating Link Structure and Content Information for Ranking Web Documents, page 237
Integrating Features, Models, and Semantics for TREC Video Retrieval, page 240
- IBM Labs, Haifa
Juru at TREC 10--Experiments with Index Pruning, page 228
- IBM T.J. Watson Research Center
Integrating Features, Models, and Semantics for TREC Video Retrieval, page 240
Use of WordNet Hypernyms for Answering What-Is Questions, page 250
IBM's Statistical Question Answering System--TREC-10, page 258
- Imperial College of Science, Technology and Medicine
Multi-timescale Video Shot-Change Detection, page 275
Link-based Approaches for Text Retrieval, page 279
- Independent Consultant
Applying Support Vector Machines to the TREC-2001 Batch Filtering and Routing Tasks, page 286
- InsightSoft-M
Patterns of Potential Answer Expressions as Clues to the Right Answers, page 293
- IRIT-SIG
Mercure and MercureFiltre Applied for Web and Filtering Tasks at TREC-10, page 303
- ITC-Irst
Multilingual Question/Answering: the DIOGENE System, page 313
- Johns Hopkins University Applied Physics Laboratory
JHU/APL at TREC 2001: Experiments in Filtering and in Arabic, Video, and Web Retrieval, page 332
- Justsystem Corp.
More Reflections on "Aboutness" TREC-2001 Evaluation Experiments at Justsystem, page 331
- KAIST
TREC-10 Experiments at KAIST: Batch Filtering and Question Answering, page 347
- Kasetsart University
Kasetsart University TREC-10 Experiments, page 339
- KORTERM
TREC-10 Experiments at KAIST: Batch Filtering and Question Answering , page 347
- Language Computer Corporation
Answering Complex, List and Context Questions with LCC's Question-Answering Server, page 355
- LIMSI-CNRS
Finding An Answer Based on the Recognition of the Question Focus, page 362
- Microsoft Research
The TREC 2001 Filtering Track Report, page 26
TREC-10 Web Track Experiments at MSRA, page 384
- Microsoft Research, Asia
MSR-Asia at TREC-10 Video Track: Shot Boundary Detection Task, page 371
- Microsoft Research Ltd.
Microsoft Cambridge at TREC-10: Filtering and Web Tracks, page 378
- The MITRE Corp.
Qanda and the Catalyst Architecture, page 401
- National Taiwan University
Description of NTU System at TREC-10 QA Track, page 406
- NCR Corp.
IIT at TREC-10, page 265
- NexTrieve
The NexTrieve Search System in TREC 2001, page 412
- NIST
Overview of TREC 2001, page 1
The TREC 2001 Filtering Track Report, page 26
The TREC 2001 Interactive Track Report, page 38
Overview of the TREC 2001 Question Answering Track, page 42
The TREC-2001 Video Track Report, page 52
- NTT Communication Science Labs
NTT Question Answering System in TREC 2001, page 415
- Oracle Corp.
Oracle at TREC 10: Filtering and Question-Answering, page 423
- Oregon Health Sciences University
The TREC 2001 Interactive Track Report, page 38
Observations of Searchers: OHSU TREC 2001 Interactive Track, page 434
- POSTECH
SiteQ: Engineering High Performance QA System Using Lexico-Semantic Pattern Matching and Shallow NLP, page 442
- Queens College
TREC2001 Question-Answer, Web and Cross Language Experiments using PIRCS, page 452
- RICOH Co., Ltd.
RICOH at TREC-10: Web Track Ad-hoc Task, page 457
- Rutgers University
Rutgers' TREC 2001 Interactive Track Experience, page 465
- SER Technology Deutschland GmbH
SERbrainware at TREC 2001, page 473
- Sogang University
SiteQ: Engineering High Performance QA System Using Lexico-Semantic Pattern Matching and Shallow NLP, page 442
- Sonic Foundry-MediaSite Systems
Video Retrieval with the Informedia Digital Video Library System, page 94
- Sun Microsystems Labs
Aggressive Morphology and Lexical Relations for Query Expansion, page 479
- Syracuse University
Question Answering: CNLP at the TREC-10 Question Answering Track, page 485
- Tampere University of Technology
Tampere University of Technology at TREC 2001, page 495
- Tianjin University
TREC-10 Web Track Experiments at MSRA, page 384
- Tilburg University
Using Grammatical Relations, Answer Frequencies and the World Wide Web for TREC Question Answering, page 502
- TNO-TPD
Retrieving Web Pages Using Content, Links, URLs and Anchors, page 663
Lazy Users and Automatic Video Retrieval Tools in (the) Lowlands, page 159
- Tsinghua University
MSR-Asia at TREC-10 Video Track: Shot Boundary Detection Task, page 371
TREC-10 Web Track Experiments at MSRA, page 384
- Universidad de Alicante
University of Alicante at TREC-10, page 510
- Universitá di Pisa
PiQASso: Pisa Question Answering System, page 633
- Université de Montréal
The QUANTUM Question Answering System, page 579
- Université de Neuchâtel
Report on the TREC-10 Experiment: Distributed Collections and Entrypage Searching, page 586
- University of Amsterdam
Tequesta: The University of Amsterdam's Textual Question Answering System, page 519
Lazy Users and Automatic Video Retrieval Tools in (the) Lowlands, page 159
- University of California, Berkeley
The TREC-2001 Cross-Language Information Retrieval Track: Searching Arabic Using English, French or Arabic Queries, page 16
Translation Term Weighting and Combining Translation Resources in Cross-Language Retrieval, page 529
- University of Florida
MSR-Asia at TREC-10 Video Track: Shot Boundary Detection Task, page 371
- University of Glasgow
Comparing Explicit and Implicit Feedback Techniques for Web Retrieval: TREC-10 Interactive Track Report, page 534
- University of Illinois at Urbana-Champaign
Learning Components for A Question-Answering System, page 539
- University of Maryland, College Park
The TREC-2001 Cross-Language Information Retrieval Track: Searching Arabic Using English, French or Arabic Queries, page 16
TREC-10 Experiments at University of Maryland CLIR and Video, page 549
- University of Massachusetts
Arabic Information Retrieval at UMass in TREC-10, page 562
- University of Michigan
Important Cognitive Components of Domain-Specific Search Knowledge, page 571
- University of Nijmegen
Unbiased S-D Threshold Optimization, Initial Query Degradation, Decay, and Incrementality, for Adaptive Document Filtering, page 596
- University of North Carolina, Chapel Hill
Challenges of Multi-Mode IR Software, page 604
Combining Text- and Link-based Retrieval Methods for Web IR, page 609
- University of North Texas
UNT TRECvid: A Brighton Image Searcher Application, page 619
- University of Oulu Finland
TREC-10 Experiments at University of Maryland CLIR and Video, page 549
- University of Padova
University of Padova at TREC-10, page 624
- University of Sheffield
Keep It Simple Sheffield--A KISS Approach to the Arabic Track, page 642
- University of Southern California
The Use of External Knowledge of Factoid QA, page 644
- Univ. of South California/ISI
TREC 2001 Cross-lingual Retrieval at BBN, page 68
- University of Strathclyde
Comparing Explicit and Implicit Feedback Techniques for Web Retrieval: TREC-10 Interactive Track Report, page 534
- University of Toronto
Selecting Versus Describing: A Preliminary Analysis of the Efficacy of Categories in Exploring the Web, page 653
- University of Twente
Lazy Users and Automatic Video Retrieval Tools in (the) Lowlands, page 159
Retrieving Web Pages Using Content, Links, URLs and Anchors, page 663
- University of Waterloo
Web Reinforced Question Answering (MultiTest Experiments for TREC 2001), page 673
- The University of York
A ProtoType Question Answering System Using Syntactic and Semantic Information for Answer Retrieval, page 680
- Virginia Polytechnic Institute and State University
Machine Learning Approach for Homepage Finding Task, page 686
- Yonsei University
yonsei_etri_trec10, page 698
|