List of Selected Papers from TREC Conferences

Leen-Kiat Soh

August 18, 2003

CSCE 410/810 Information Retrieval

NIST Special Publication 500-251: The Eleventh Text REtrieval Conference (TREC 2002)

This report constitutes the proceedings of the Eleventh Text REtrieval Conference (TREC 2002) held in Gaithersburg, Maryland, November 19-22, 2002. The conference was co-sponsored by the National Institute of Standards and Technology (NIST) the Defense Advanced Research Projects Agency (DARPA) and the Advanced Research and Development Activity (ARDA).

Publisher: Department of Commerce, National Institute of Standards and Technology

Editors: E. M. Voorhees and Lori P. Buckland

NIST Special Publication 500-250: The Tenth Text REtrieval Conference (TREC 2001)

This report constitutes the proceedings of the Tenth Text REtrieval Conference (TREC-2001) held in Gaithersburg, Maryland, November 13-16, 2001. The conference was co-sponsored by the National Institute of Standards and Technology (NIST) the Defense Advanced Research Projects Agency (DARPA) and the Advanced Research and Development Activity (ARDA). This publication is available in hardcopy format from the Government Printing Office (GPO), stock number SN003-003-03750-8, price not yet available. Call 202-512-1800 to order from the GPO Order Desk.

Publisher: Department of Commerce, National Institute of Standards and Technology

Editors: E. M. Voorhees and D. K. Harman

NIST Special Publication 500-249: The Ninth Text REtrieval Conference (TREC-9)

This report constitutes the proceedings of the Ninth Text REtrieval Conference (TREC-9 ) held in Gaithersburg, Maryland, November 13-16, 2000. The conference was co-sponsored by the National Institute of Standards and Technology (NIST) the Defense Advanced Research Projects Agency(DARPA) and the Advanced Research and Development Activity (ARDA). This publication is available from NTIS. The identification number, PB2002-100919, must be used when ordering this publication. The price is $124 for a paper copy, foreign and domestic; and $52 for a copy on microfiche.

Publisher: Department of Commerce, National Institute of Standards and Technology

Editors: E. M. Voorhees and D. K. Harman

NIST Special Publication 500-249: The Ninth Text REtrieval Conference (TREC 9)

1. Overview of the Ninth Text REtrieval Conference (TREC-9), page 1
E. Voorhees, D. Harman, National Institute of Standards and Technology

2. TREC-9 Cross-Language Information Retrieval (English-Chinese) Overview, page 15
F. Gey, A. Chen, University of California, Berkeley

3. The TREC-9 Filtering Track Final Report, page 25
S. Robertson, Microsoft Research
D.A. Hull, WhizzBang Labs

4. The TREC-9 Interactive Track Report, page 41
W. Hersh, Oregon Health Sciences University
Paul Over, National Institute of Standards and Technology

5. Overview of the TREC-9 Question Answering Track, page 71
E. Voorhees, NIST

6. The TREC-9 Query Track, page 81
Chris Buckley, Sabir Research, Inc.

7. Overview of the TREC-9 Web Track, page 87
D. Hawking, CSIRO Mathematical and Information Sciences

8. Structuring and Expanding Queries in the
Probabilistic Model, page 427
Y. Ogawa, H. Mano, M. Narita, S. Honma, RICOH Co., Ltd.

9. IIT TREC-9 - Entity Based Feedback with Fusion,
page 241
A. Chowdhury, S. Beitzel, E. Jensen, M. Sai-lee, D. Grossman,
O. Frieder, Illinois Institute of Technology
M.C. McCabe, U.S. Government
D. Holmes, NCR Corporation

10. IBM's Statistical Question Answering System,
page 229
A. Ittycheriah, M. Franz, W-J Zhu,
A. Ratnaparkhi, IBM T.J. Watson Research Center
R.J. Mammone, Rutgers University

11. Question Answering by Passage Selection
(MultiText Experiments for TREC-9), page 673
C.L.A. Clarke, G.V. Cormack, D.I.E. Kisman, T.R. Lynam,
University of Waterloo

12. Question Answering in Webclopedia,
page 655
E. Hovy, L. Gerber, U. Hermjakob, M. Junk, C-Y Lin, University of Southern California

13. Spoken Document Retrieval for TREC-9 at
Cambridge University, page 117
S.E. Johnson, P. Jourlin, K. Spärck Jones, P.C. Woodland,
Cambridge University

14. TREC-9 CLIR at CUHK: Disambiguation by Similarity Values Between Adjacent Words, page 151
H. Jin, K-F Wong, The Chinese University of Hong Kong

15. Dublin City University Experiments in Connectivity Analysis for TREC-9, page 179
C. Gurrin, A.F. Smeaton, Dublin City University

16. Training Context-Sensitive Neural Networks with Few Relevant Examples for the TREC-9 Routing, page 257
M. Stricker, Informatique-CDC and ESPCI
F. Vichot, F. Wolinski, Informatique-CDC
G. Dreyfus, ESPCI

17. The HAIRCUT System at TREC-9, page 273
P. McNamee, J. Mayfield, C. Piatko, The Johns Hopkins University, APL

18. Question Answering Considering Semantic Categories and Co-Occurrence Density, page 317
S-M Kim, D-H Baek, S-B Kim, H-C Rim, Korea University

19. TNO-UT at TREC-9: How Different are Web Documents?, page 665
W. Kraaij, TNO-TPD
T. Westerveld, University of Twente, CTIT

20. Report on the TREC-9 Experiment: Link-based Retrieval and Distributed Collections, page 579
J. Savoy, Y. Rasolofo, Université de Neuchâtel

21. Information Space Based on HTML Structure, page 601
G. Newby, University of North Carolina, Chapel Hill

22. Web Document Retrieval Using Passage Retrieval, Connectivity Information, and Automatic Link Weighting--TREC-9 Report, page 611
F. Crivellari, M. Melucci, University of Padova (Italy)

23. Reflections on "Aboutness" TREC-9 Evaluation Experiments at Justsystem, page 281
S. Fujita, Justsystem Corporation

24. Incrementality, Half-life, and Threshold Optimization for Adaptive Document Filtering, page 589
A. Arampatzis, J. Beney, C.H.A. Koster, T.P. van der Weide, University of Nijmegen

NIST Special Publication 500-250: The Tenth Text REtrieval Conference (TREC 2001)

1. Overview of TREC 2001, page 1
E. Voorhees, NIST

2. The TREC-2001 Cross-Language Information Retrieval Track: Searching Arabic Using English, French or Arabic Queries, page 16
F.C. Gey, University of California, Berkeley
D.W. Oard, University of Maryland, College Park

3. The TREC 2001 Filtering Track Report, page 26
S. Robertson, Microsoft Research
I. Soboroff, NIST

4. The TREC 2001 Interactive Track Report, page 38
W. Hersh, Oregon Health Sciences Univ.
P. Over, NIST

5. Overview of the TREC 2001 Question Answering Track, page 42
E. Voorhees, NIST

6. The TREC-2001 Video Track Report, page 52 A.F. Smeaton, Dublin City Univ.
P. Over, R. Taban, NIST

7. Overview of the TREC-2001 Web Track, page 61 D. Hawking, N. Craswell, CSIRO

8. Video Retrieval with the Informedia Digital Video Library System, page 94
A. Hauptmann, R. Jin, N. Papernick, D. Ng, Y. Qi, Carnegie Mellon Univ.
R. Houghton, S. Thornton, Sonic Foundry-MediaSite Systems

9. TREC-10 Shot Boundary Detection Task: CLIPS System Description and Evaluation, page 142
G.M. Quenot, CLIPS-IMAG

10. Lazy Users and Automatic Video Retrieval Tools in (the) Lowlands, page 159
The Lowlands Team: CWI, TNO, Univ. of Amsterdam, Univ. of Twente

11. Juru at TREC 10--Experiments with Index Pruning, page 228
D. Carmel, E. Amitay, M. Herscovici, Y. Maarek, Y. Petruschka, A. Soffer, IBM Labs, Haifa

12. Integrating Features, Models, and Semantics for TREC Video Retrieval, page 240
J.R. Smith, S. Basu, G. Iyengar, C-Y Lin, M. Naphade, B. Tseng, IBM T.J. Watson Research Center
S. Srinivasan, A. Amir, D. Ponceleon, IBM Almaden Research Center

13. Use of WordNet Hypernyms for Answering What-Is Questions, page 250
J. Prager, J. Chu-Carroll, IBM T.J. Watson Research Center
K. Czuba, Carnegie-Mellon University

14. Patterns of Potential Answer Expressions as Clues to the Right Answers, page 293
M.M. Soubbotin, InsightSoft-M

15. Finding An Answer Based on the Recognition of the Question Focus, page 362
O. Ferret, B. Grau, M. Hurault-Plantet, G. Illouz, L. Monceaux, I. Robba, A. Vilnat, LIMSI-CNRS

16. Observations of Searchers: OHSU TREC 2001 Interactive Track, page 434
W. Hersh, L. Sacherek, D. Olson, Oregon Health and Sciences University

17. Aggressive Morphology and Lexical Relations for Query Expansion, page 479
W.A. Woods, S. Green, P. Martin, A. Houston, Sun Microsystems Labs

18. Using Grammatical Relations, Answer Frequencies and the World Wide Web for TREC Question Answering, page 502
S. Buchholz, Tilburg Univ.

19. Translation Term Weighting and Combining Translation Resources in Cross-Language Retrieval, page 529
A. Chen, F. Gey, Univ. of California at Berkeley

20. Comparing Explicit and Implicit Feedback Techniques for Web Retrieval: TREC-10 Interactive Track Report, page 534
R.W. White, J.M. Jose, Univ. of Glasgow
I. Ruthven, Univ. of Strathclyde

21. Learning Components for A Question-Answering System, page 539
D. Roth, G. Kao Kao, X. Li, R. Nagarajan, V. Punyakanok, N. Rizzolo, W-t Yih, C. Ovesdotter Alm, L. Gerard Moran, Univ. of Illinois at Urbana-Champaign

22. Arabic Information Retrieval at UMass in TREC-10, page 562
L. S. Larkey, M.E. Connell, Univ. of Massachusetts

23. Keep It Simple Sheffield--A KISS Approach to the Arabic Track, page 642
M. Sanderson, A. Alberair, Univ. of Sheffield

24. The Use of External Knowledge of Factoid QA, page 644
E. Hovy, U. Hermjakob, C-Y Lin, Univ. of Southern California

25. Machine Learning Approach for Homepage Finding Task, page 686
W. Xi, E.A. Fox, Virginia Polytechnic Institute and State Univ.

26. Yonsei/ETRI at TREC-10: Utilizing Web Document Properties, page 698
D-Y Ra, E-K Park, J-S Jang, Yonsei Univ.

NIST Special Publication: SP 500-251 The Eleventh Text Retrieval Conference (TREC 2002)

1. Overview of TREC 2002, page
E.M. Voorhees, National Institute of Standards and Technology

2. The TREC 2002 Arabic/English CLIR Track, page
D.W. Oard, University of Maryland, College Park
F.C. Gey, University of California, Berkeley

3. The TREC 2002 Filtering Track Report, page
S. Robertson, Microsoft Research
I. Soboroff, National Institute of Standards and Technology

4. TREC 2002 Interactive Track Report, page
W. Hersh, Oregon Health and Science University

5. Overview of the TREC 2002 Novelty Track, page
D. Harman, National Institute of Standards and Technology

6. Overview of the TREC 2002 Question Answering Track, page
E.M. Voorhees, National Institute of Standards and Technology

7. The TREC-2002 Video Track Report, page
A.F. Smeaton, Dublin City University
P. Over, National Institute of Standards and Technology

8. Overview of the TREC-2002 Web Track, page
N. Craswell and D. Hawking
CSIRO

9. TREC 2002 QA at BBN: Answer Selection and Confidence Estimation, page
J. Xu, A. Licuanan, J. May, S. Miller, R. Weischedel, BBN Technologies

10. Question Answering Using XML-Tagged Documents,
K.C. Litkowski, CL Research

11. Information Filtering, Novelty Detection, and Named-Page Finding, page
K. Collins-Thompson, P. Ogilvie, Y Zhang, J. Callan, Carnegie Mellon University

12. Experiments in Novelty Detection at Columbia University, page
B. Schiffman, Columbia University

13. Semantic Feature Extraction using Mpeg Macro-block Classification, page
F. Souvannavong, B. Merialdo, B. Huet, Institut Eurécom

14. Topic Distillation with Knowledge Agents, page
E. Amitay, D. Carmel, A. Darlow, R. Lempel, A. Soffer, IBM Research Labs Haifa
R. Lempel, Technion

15. A Multi-Strategy and Multi-Source Approach to Question Answering, page
J. Chu-Carroll, J. Prager, C. Welty, K. Czuba, D. Ferrucci,
IBM T.J. Watson Research Center

16. Mining Knowledge from Repeated Co-Occurrences: DIOGENE at TREC 2002, page
B. Magnini, M. Negri, R. Prevete, H. Tanev, ITC-Irst

17. TREC Feature Extraction by Active Learning, page
J. Vendrig, I. Patras, C. Snoek, M. Worring, Mediamill/ISIS University of Amsterdam
J. den Hartog, S. Raaijmakers, J. van Rest, Mediamill TNO-TPD
D. van Leeuwen, TNO-Human Factors

18. Extracting Answers from the Web Using Data Annotation and Knowledge Mining Techniques, page
J. Lin, A. Fernandes, B. Katz, G. Marton, S. Tellex, MIT

19. A Machine Learning Approach for QA and Novelty Tracks: NTT System Description, page
H. Kazawa, T. Hirao, H. Isozaki, E. Maeda, NTT Communication Science Laboratories

20. Some Similarity Computation Methods in Novelty Detection, page
M.-F. Tsai, H.-H. Chen, National Taiwan University

21. The Integration of Lexical Knowledge and External Resources for Question Answering, page
H. Yang, T.-S. Chua, National University of Singapore

22. Example Based Text Matching Methodology for Routing Tasks, page
A. Visa, J. Toivonen, T. Vesanen, J. Mäkinen, Tampere University of Technology
B. Brack, Åbo Akademi University
H. Vanharanta, Pori School of Technology and Economics

23. Incremental Learning for Profile Training in Adaptive Document Filtering, page
L. Ma, Q. Chen, S. Ma, M. Zhang, L. Cai, Tsinghua University

24. Using Hierarchical Clustering and Summarisation Approaches
for Web Retrieval: Glasgow at the TREC 2002 Interactive Track, page
R. Osdin, I. Ounis, R.W. White, University of Glasgow

25. Homepage Finding and Topic Distillation Using a Common Retrieval Strategy, page
V. Ngoc Anh, A. Moffat, University of Melbourne

26. Classifier Stacking and Voting for Text Filtering page
R. Mihalcea, University of North Texas

27. Augmenting and Limiting Search Queries, page
E.G. Toms, L. Freund, C. Li, University of Toronto

28. Statistical Selection of Exact Answers (MultiText Experiments for TREC 2002), page
C.L.A. Clarke, G.V. Cormack, G. Kemkes, M. Laszlo, T.R. Lynam,
E.L. Terra, P.L. Tilker, University of Waterloo

29. Web Document Retrieval Using Sentence-Query Similarity, page
E.-K. Park, S.-I. Moon, D.-Y. Ra, Yonsei University
M.-G. Jang, Electronics and Telecommunications Research Institute