Cross-Language
[Filtering]
[Interactive]
[Question Answering]
[Web]
[Video]
- BBN Technologies
-
TREC 2001 Cross Lingual Retrieval at BBN, page 68
- Hummingbird
-
Hummingbird SearchServer at TREC2001, page 216
- Illinois Institute of Technology
-
IIT at TREC-10, page 265
- Johns Hopkins University
-
JHU/APL at TREC 2001: Experiments in Filtering and in Arabic, Video, and Web Retrieval, page 322
- Queens College, CUNY
-
TREC2001 Question-Answer, Web and Cross Language Experiments using PIRCS, page 452
- University of California, Berkeley, CA
-
Translation Term Weighting and Combining Translation Resources in Cross-Language Retrieval, page 529
-
The TREC-2001 Cross-Language Information Retrieval Track: Searching Arabic Using English, French or Arabic Queries, page 16
- University of Maryland
-
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 TREC10, page 562
- University of Sheffield
-
Keep It Simple Sheffield--A KISS Approach to the Arabic Track, page 642
Filtering
[Cross-Language]
[Interactive]
[Question Answering]
[Web]
[Video]
- 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
- Chinese Academy of Sciences
-
TREC-10 Experiments at CAS-ICT: Filtering, Web and QA, page 109
- Clairvoyance Corporation
-
Topic-Specific Optimization and Structuring, page 132
- Fudan University
-
FDU at TREC-10: Filtering, QA, Web and Video Tasks, page 192
- Independent Consultant
-
Applying Support Vector Machines to the TREC-2001 Batch Filtering and
Routing Tasks, page 286
- IRIT-SIG
-
Mercure and MercureFiltre Applied for Web and Filtering Tasks at TREC-
10, page 303
- Johns Hopkins University
-
JHU/APL at TREC 2001: Experiments in Filtering and in Arabic, Video,
and Web Retrieval, page 322
- Korea Advanced Institute of Science and Technology (KAIST)
-
TREC-10 Experiments at KAIST, Batch Filtering and Question Answering, page 347
- Microsoft Research
-
The TREC 2001 Filtering Track Final Report, page 26
-
Microsoft Cambridge at TREC-10: Filtering and Web Tracks, page 378
- NIST
-
The TREC 2001 Filtering Track Final Report, page 26
- Oracle
-
Oracle at TREC 10: Filtering and Question-Answering, page 423
- SER Technology
-
SERbrainware at TREC 2001, page 473
- Tampere University of Technology
-
Tampere University of Technology at TREC 2001, page 495
- University of Nijmegen
-
Unbiased S-D Threshold Optimization, Initial Query Degradation, Decay,
and Incrementality, for Adaptive Document Filtering, page 596
Interactive
[Cross-Language]
[Filtering]
[Question Answering]
[Web]
[Video]
- CSIRO
-
TREC10 Web and Interactive Tracks at CSIRO, page 151
- NIST
-
TREC-2001 Interactive Track Report, page 38
- Oregon Health Sciences University
-
TREC-2001 Interactive Track Report, page 38
-
Observations of Searchers: OHSU TREC 2001 Interactive Track, page 434
- Queens College, CUNY
-
Rutgers' TREC 2001 Interactive Track Experience, page 465
- Rutgers' University
-
Rutgers' TREC 2001 Interactive Track Experience, page 465
- University of British Columbia
-
Selecting Versus Describing: A Preliminary Analysis of the Efficacy of
Categories in Exploring the Web, page 653
- University of Glasgow
-
Comparing Explicit and Implicit Feedback Techniques for Web Retrieval:
TREC-10 Interactive Track Report, page 534
- University of Michigan
-
Important Cognitive Components of Domain-Specific Search Knowledge, page 571
- University of North Carolina, Chapel Hill
-
Challenges of Multi-Mode IR Software, page 604
- University of Toronto
-
Selecting Versus Describing: A Preliminary Analysis of the Efficacy of
Categories in Exploring the Web, page 653
Question Answering
[Cross-Language]
[Filtering]
[Interactive]
[Web]
[Video]
- Carnegie Mellon University
-
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
- CL Research
-
CL Research Experiments in TREC-10 Question Answering, page 122
- Concordia University
-
The QUANTUM Question Answering System, page 579
- DiQuest.com, Inc.
-
SiteQ: Engineering High Performance QA System Using Lexico-Semantic
Pattern Matching and Shallow NLP, page 442
- EC Wise, Inc.
-
Word Proximity QA System, page 179
- Fudan University
-
FDU at TREC-10: Filtering, QA, Web and Video Tasks, page 192
- IBM T.J. Watson Research Lab
-
Use of WordNet Hypernyms for Answering What-Is Questions, page 250
- IBM Yorktown Heights
-
IBM's Statistical Question Answering System--TREC-10, page 258
- InsightSoft-M
-
Patterns of Potential Answer Expressions as Clues to the Right Answers, page 293
- ITC-Irst
-
Multilingual Question/Answering: the DIOGENE System, page 313
- Korea Advanced Institute of Science and Technology (KAIST)
-
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
-
Data-Intensive Question Answering, page 393
- The MITRE Corporation
-
Qanda and the Catalyst Architecture, page 401
- National Institute of Standards and Technology
-
Overview of the TREC 2001 Question Answering Track, page 42
- National Taiwan University
-
Description of NTU System at TREC-10 QA Track, page 406
- NTT Corporation
-
NTT Question Answering System in TREC 2001, page 415
- Oracle Corporation
-
Oracle at TREC 10: Filtering and Question-Answering, page 423
- POSTECH
-
SiteQ: Engineering High Performance QA System Using Lexico-Semantic
Pattern Matching and Shallow NLP, page 442
- Queens College, CUNY
-
TREC 2001 Question-Answer, Web and Cross Language Experiments using
PIRCS, page 452
- Sogang University
-
SiteQ: Engineering High Performance QA System Using Lexico-Semantic
Pattern Matching and Shallow NLP, page 442
- Sun Microsystems Laboratories
-
Aggressive Morphology and Lexical Relations for Query Expansion, page 479
- Syracuse University
-
Question Answering: CNLP at the TREC-10 Question Answering Track, page 485
- Tilburg University
-
Using Grammatical Relations, Answer Frequencies and the World Wide Web
for TREC Question Answering, page 502
- Universidad de Alicante
-
Univ. of Alicante at TREC-10, page 510
- University of Amsterdam
-
Tequesta: The University of Amsterdam's Textual Question Answering
System, page 519
- University of Illinois at Urbana-Champaign
-
Learning Components for a Question-Answering System, page 539
- Université de Montréal
-
The QUANTUM Question Answering System, page 579
- Università di Pisa
-
PiQASso: Pisa Question Answering System, page 633
- University of Southern California
-
The Use of External Knowledge in Factoid QA, page 644
- The University of York
-
A Prototype Question Answering System Using Syntactic and Semantic
Information for Answer Retrieval, page 680
- University of Waterloo
-
Web Reinforced Question Answering (MultiText Experiments for TREC2001), page 673
Video
[Cross-Language]
[Filtering]
[Interactive]
[Web]
[Question Ansering]
- Carnegie Mellon University
-
Video Retrieval with the Informedia Digital Video Library System, page 94
- CLIPS-IMAG
-
TREC-10 Shot Boundary Detection Task: CLIPS System Description and
Evaluation, page 142
- CWI
-
Lazy Users and Automatic Video Retrieval Tools in (the) Lowlands, page 159
- Dublin City University
-
The TREC 2001 Video Track Report, page 52
- Fudan University
-
FDU at TREC-10: Filtering, QA, Web and Video Tasks, page 192
- IBM T.J. Watson Research Center
-
Integrating Features, Models, and Semantics for TREC Video Retrieval, page 240
- IBM Almaden Research Center
-
Integrating Features, Models, and Semantics for TREC Video Retrieval, page 240
- Imperial College of Science, Technology and Medicine
-
Multi-Timescale Video Shot-Change Detection, page 275
- Johns Hopkins University Applied Physics Laboratory
-
JHU/APL at TREC 2001: Experiments in Filtering and in Arabic, Video,
and Web Retrieval, page 322
- Microsoft Research
-
MSR-Asia at TREC-10 Video Track: Shot Boundary Detection Task, page 371
- National Institute of Standards and Technology
-
The TREC 2001 Video Track Report, page 52
- Sonic Foundry-MediaSite Systems
-
Video Retrieval with the Informedia Digital Video Library System, page 94
- TNO
-
Lazy Users and Automatic Video Retrieval Tools in (the) Lowlands, page 159
- Tsinghua University
-
MSR-Asia at TREC-10 Video Track: Shot Boundary Detection Tas, page 371
- University of Amsterdam
-
Lazy Users and Automatic Video Retrieval Tools in (the) Lowlands, page 159
- University of Florida
-
MSR-Asia at TREC-10 Video Track: Shot Boundary Detection Task, page 371
- University of Maryland
-
TREC-10 Experiments at University of Maryland CLIR and Video, page 549
- University of North Texas
-
UNT TRECvid: A Brighton Image Searcher Application, page 619
- University of Twente
-
Lazy Users and Automatic Video Retrieval Tools in (the) Lowland, page 159
Web
[Cross-Language]
[Filtering]
[Interactive]
[Video]
[Question Ansering]
- AOL Inc.
-
IIT at TREC-10, page 265
- Carnegie Mellon University
-
Experiments Using the Lemur Toolkit, page 103
- Chinese Academy of Sciences
-
TREC-10 Experiments at CAS-ICT: Filtering, Web and QA, page 109
- CSIRO
-
Overview of the TREC-2001 Web Track, page 61
-
TREC10 Web and Interactive Tracks at CSIRO, page 151
- Electronics and Telecommunications Research Institute
-
Yonsei/ETRI at TREC-10: Utilizing Web Document Properties, page 698
- 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 TREC2001, page 216
- IBM Almaden Research Center
-
Integrating Link Structure and Content Information or Ranking Web
Documents, page 237
- IBM Labs, Haifa University
-
Juru at TREC 10--Experiments with Index Pruning, page 228
- Illinois Institute of Technology
-
IIT at TREC-10, page 265
- Imperial College of Science, Technology and Medicine
-
Link-based Approaches for Text Retrieval, page 279
- IRIT-SIG
-
Mercure and MercureFiltre Applied for Web and Filtering Tasks at TREC-
10, page 303
- Johns Hopkins University
-
JHU/APL at TREC 2001: Experiments in Filtering and in Arabic, Video,
and Web Retrieval, page 322
- JUSTSYSTEM Corporation
-
More Reflections on "Aboutness" TREC-2001 Evaluation Experiments at
Justsystem, page 331
- Kasetsart University
-
Kasetsart University TREC-10 Experiments, page 339
- Microsoft Research
-
Microsoft Cambridge at TREC-10: Filtering and Web Tracks, page 378
-
TREC-10 Web Track Experiments at MSRA, page 384
- NCR Corporation
-
IIT at TREC-10, page 265
- NexTrieve
-
The NexTrieve Search System in TREC 2001`, page 412
- Queens College, CUNY
-
TREC 2001 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
- Université de Montréal
-
TREC-10 Web Track Experiments at MSRA, page 384
- Tianjin University
-
TREC-10 Web Track Experiments at MSRA, page 384
- Tsinghua University
-
TREC-10 Web Track Experiments at MSRA, page 384
- TNO-TPD
-
Retrieving Web Pages Using Content, Links, URLs and Anchors, page 663
- Université de Neuchâtel
-
Report on the TREC-10 Experiment:
Distributed Collections and Entrypage Searching, page 586
- University of North Carolina, Chapel Hill
-
Combining Text- and Link-Based Retrieval Methods for Web IR, page 609
-
Challenges of Multi-Mode IR Software, page 604
- Università di Padova
-
University of Padova at TREC-10, page 624
- University of Twente
-
Retrieving Web Pages Using Content, Links, URLs and Anchors, page 663
- University of Waterloo
-
Web Reinforced Question Answering (MultiText Experiments for TREC2001), page 673
- Yonsei University
-
Yonsei/ETRI at TREC-10: Utilizing Web Document Properties, page 698
- Virginia Polytechnic Institute and State University
-
Machine Learning Approach for Homepage Finding Task, page 686
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Last updated: Friday, 09-Jan-2004 12:34:07 UTC
Date created: Thursday, 02-May-09
trec@nist.gov |
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