Finding Good Elements for Focused Retrieval
This paper describes the integration of our methodology for the dynamic retrieval of XML elements  with traditional article retrieval to facilitate the Focused and the Relevant-in-Context Tasks of the INEX 2008 Ad Hoc Track. The particular problems that arise for dynamic element retrieval in working with text containing both tagged and untagged elements have been solved . The current challenge involves utilizing its ability to produce a rank-ordered list of elements in the context of focused retrieval. Our system is based on the Vector Space Model ; basic functions are performed using the Smart experimental retrieval system . Experimental results are reported for the Focused, Relevant-in-Context, and Best-in-Context Tasks of both the 2007 and 2008 INEX Ad Hoc Tracks. These results indicate that the goal of our 2008 investigations—namely, finding good focused elements in the context of the Wikipedia collection–has been achieved.
KeywordsVector Space Model Focus Element Section Strategy Correlation Strategy Focus Task
Unable to display preview. Download preview PDF.
- 1.Bapat, S.: Improving the results for focused and relevant-in-context tasks. M.S. Thesis, Department of Computer Science, University of Minnesota Duluth (2008), http://www.d.umn.edu/cs/thesis/bapat.pdf
- 4.Mehta, S.: Finding the best entry point. M.S. Thesis, Department of Computer Science, University of Minnesota Duluth (2008), http://www.d.umn.edu/cs/thesis/mehta.pdf
- 5.Mone, A.: Dynamic element retrieval for semi-structured documents. M.S. Thesis, Department of Computer Science, University of Minnesota Duluth (2007), http://www.d.umn.edu/cs/thesis/mone.pdf
- 6.Paranjape, D.: Improving focused retrieval. M.S. Thesis, Department of Computer Science, University of Minnesota Duluth (2007), http://www.d.umn.edu/cs/thesis/paranjape.pdf
- 7.Salton, G. (ed.): The Smart Rretrieval System—Experiments in Automatic Document Processing. Prentice-Hall, Englewood Cliffs (1971)Google Scholar