Abstract
Following our previous participation in INEX 2008 Ad-hoc track, we continue to address both standard and focused retrieval tasks based on comprehensible language models and interactive query expansion (IQE). Query topics are expanded using an initial set of Multiword Terms (MWTs) selected from top n ranked documents. In this experiment, we extract MWTs from article titles, narrative field and automatically generated summaries. We combined the initial set of MWTs obtained in an IQE process with automatic query expansion (AQE) using language models and smoothing mechanism. We chose as baseline the Indri IR engine based on the language model using Dirichlet smoothing. We also compare the performance of bag of word approaches (TFIDF and BM25) to search strategies elaborated using language model and query expansion (QE). The experiment is carried out on all INEX 2009 Ad-hoc tasks.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Perez-Carballo, J., Strzalkowski, T.: Natural language information retrieval: progress report. Information Processing and Management 36(1), 155–178 (2000)
Vechtomova, O.: The role of multi-word units in interactive information retrieval. In: Losada, D.E., Fernández-Luna, J.M. (eds.) ECIR 2005. LNCS, vol. 3408, pp. 403–420. Springer, Heidelberg (2005)
Knoth, P., Schmidt, M., Smrz, P., Zdrahal, Z.: Towards a framework for comparing automatic term recognition methods. In: ZNALOSTI 2009, Proceedings of the 8th annual conference, p. 12. Vydavatelstvo STU (2009)
Jones, K.S., Walker, S., Robertson, S.E.: A probabilistic model of information retrieval: development and comparative experiments. Inf. Process. Manage. 36(6), 779–840 (2000)
Kageura, K.: The dynamics of Terminology: A descriptive theory of term formation and terminological growth. John Benjamins, Amsterdam (2002)
Ibekwe-SanJuan, F.: Constructing and maintaining knowledge organization tools: a symbolic approach. Journal of Documentation 62, 229–250 (2006)
Ibekwe, F., SanJuan, E.: Use of multiword terms and query expansion for interactive information retrieval. In: Geva, S., Kamps, J., Trotman, A. (eds.) INEX 2008. LNCS, vol. 5631, pp. 54–64. Springer, Heidelberg (2009)
Ponte, J.M., Croft, W.B.: A language modeling approach to information retrieval. In: SIGIR ’98: Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, pp. 275–281. ACM, New York (1998)
Zhai, C., Lafferty, J.: A study of smoothing methods for language models applied to information retrieval. ACM Trans. Inf. Syst. 22(2), 179–214 (2004)
Metzler, D., Croft, W.B.: Combining the language model and inference network approaches to retrieval. Information Processing and Management 40(5), 735–750 (2003)
Strohman, T., Metzler, D., Turtle, H., Croft, W.B.: Indri: A language-model based search engine for complex queries (extended version). IR 407, University of Massachusetts (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
SanJuan, E., Ibekwe-SanJuan, F. (2010). Combining Language Models with NLP and Interactive Query Expansion. In: Geva, S., Kamps, J., Trotman, A. (eds) Focused Retrieval and Evaluation. INEX 2009. Lecture Notes in Computer Science, vol 6203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14556-8_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-14556-8_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14555-1
Online ISBN: 978-3-642-14556-8
eBook Packages: Computer ScienceComputer Science (R0)