Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.

Browsing by Subject "Information retrieval (IR)"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Producing improved results for the INEX focused and relevant in context tasks.
    (2010-08) Vadlamudi, Sandeep
    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 document [3]. 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 detailed herein.