Articulating complex information needs using query templates

Journal of Information Science

Volumn 35, Issue 4, 2009, Pages 439-452

  Vechtomova, Olga ^a   Zhang, Hao ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Complex information needs; Interactive information retrieval; Query formulation; Query templates; Rhetorical structure theory; User study

Indexed keywords

COMPLEX INFORMATION NEEDS; INTERACTIVE INFORMATION RETRIEVAL; QUERY FORMULATION; QUERY TEMPLATES; RHETORICAL STRUCTURE THEORY; USER STUDY;

INFORMATION RETRIEVAL; INFORMATION SERVICES; PARTIAL DISCHARGES;

TEXT PROCESSING;

EID: 68249157966     PISSN: 01655515     EISSN: 17416485     Source Type: Journal    
DOI: 10.1177/0165551508101863     Document Type: Article

References (22)

1. S.E. Robertson, S. Walker and M.M. Hancock-Beaulieu, Experimentation as a way of life: Okapi at TREC, Information Processing and Management 36 (1) (1999) 95-108.
2. N.J. Belkin, R.N. Oddy and H.M. Brooks, ASK for Information Retrieval: Part I. Background and Theory. Journal of Documentation, 38 (2) (1982) 61-71.
3. C. Buckley, G. Salton and J. Allan, The effect of adding relevance information in a relevance feedback environment. In: Proceedings of the 17th ACM-SIGIR, 1994, Dublin, Ireland.
4. B.J. Jansen, A. Spink and T. Saracevic, Real life, real users and real needs: a study and analysis of user queries on the web, Information Processing and Management, 36 (2) (2000) 207-227.
5. N.J. Belkin, C. Cool, D. Kelly, S. Lin, S.Y. Park, J. Perez-Carballo and C. Sikora, Iterative exploration, design and evaluation of support for query reformulation in interactive information retrieval, Information Processing and Management 37 (3) (2001) 404-434.
6. D. Kelly, V.J. Dollu and X. Fu, The loquacious user: a document-independent source of terms for query expansion. In: Proceedings of the 28th ACM-SIGIR, 2005, Bahia, Brazil.
7. L.S. Price, M. Lykke, L.M.L. Delcambre and P. Vedsted, Semantic Components Enhance Retrieval of Domain-Specific Documents. In: Proceedings of CIKM 2007, Lisbon, Portugal.
8. D. Kelly and J. Lin, Overview of the TREC 2006 ciQA task, SIGIR Forum, 41 (1) (2007) 107-116
9. C. Macdonald, I. Ounis and I. Soboroff, Overview of the TREC 2007 Blog Track.
10. E. Agirre, L. Marquez and R. Wicentowski (eds) Proceedings of the 4th International Workshop on Semantic Evaluations (SemEval 2007), June 23-24, 2007, Prague, Czech Republic.
11. D. Giampiccolo and H. Trang Dang (track coordinators) TAC 2008 Recognizing Textual Entailment (RTE) Track. Available at: www.nist.gov/tac/ tracks/2008/rte/ (accessed 25 September 2008 ).
12. M. Hearst, Automatic acquisition of hyponyms from large text corpora. In: Proceedings of the 14th International Conference on Corpus Linguistics (COLING-92), 1992.
13. P. Turney and M. Littman, Corpus-based learning of analogies and semantic relations, Machine Learning 60 (1-3) (2005) 251-278.
14. P. Nakov and M. Hearst, UCB: system description for SemEval task #4. In: Proceedings of the 4th International Workshop on Semantic Evaluations, Prague, June 2007.
15. B. Beamer, S. Bhat, B. Chee, A. Fister, A. Rozovskaya and R. Girju, UIUC: a knowledge-rich approach to identifying semantic relations between nominals. In: Proceedings of the 4th International Workshop on Semantic Evaluations, Prague, June 2007.
16. M. Hurst and K. Nigam, Retrieving topical sentiments from online document collections. In: Proceedings of the 11th Conference on Document Recognition and Retrieval, 2004.
17. J. Yi, T. Nasukawa, R. Bunescu, and W. Niblack, Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques. In: Proceedings of the 3rd IEEE International Conference on Data Mining, 2003.
18. K. Yang, N. Yu, A. Valerio and H. Zhang, WIDIT in TREC-2006 Blog track. In: E. Voorhees and L. Buckland (eds) Proceedings of the 15th Text Retrieval Conference (TREC), Gaithersburg, MD, November, 2006.
19. W.C. Mann and S.A. Thompson, Rhetorical structure theory: toward a functional theory of text organization, Text 8 (3) (1988) 243-281. www.sfu.ca/rst/01intro/definitions.html (accessed 25 September 2008 ).
20. http://www.sfu.ca/rst/01intro/definitions.html (accessed 25 September 2008).
21. K. Spärck Jones, S. Walker and S.E. Robertson, A probabilistic model of information retrieval: development and comparative experiments, Information Processing and Management 36 (6) (2000) 779-808 (Part 1) and 809-840 (Part 2 ).
22. J. Allan, HARD track overview in TREC 2004. High accuracy retrieval from documents. In: E. Voorhees and L. Buckland (eds), Proceedings of the 13th Text Retrieval Conference, Gaithersburg, MD, USA, November 2004.