Information retrieval (IR) is the science of retrieving information associated
with a given query that is judged relevant by the user. With the use of XML, a
mechanism was developed to identify the structure of a document, enabling the
retrieval of elements from within documents. Now we can retrieve relevant elements
at different levels of granularity. We use flexible retrieval to retrieve elements from a
The goal of this thesis is to improve the results of the INEX Focused and
Relevant in Context (RIC) tasks. In the Focused task, we are required to produce a
rank ordered list of non-overlapping elements, whereas in the RIC task, we are
required to retrieve relevant focused elements from relevant articles. In this thesis, we
discuss various methodologies that we have developed to improve our results for the
Focused and RIC tasks. Experiments demonstrating the efficacy of our methods are
University of Minnesota M.S. thesis. August 2010. Major: Computer science. Advisor: Donald B. Crouch. 1 computer file (PDF); vi, 40 pages.
Producing improved results for the INEX focused and relevant in context tasks..
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