Topic Field Selection and Smoothing for XML Retrieval

Information retrieval from XML documents offers an opportunity to go below the document level in search of relevant information, making any element of an XML document a retrievable unit. We consider two dimensions along which we compare this element retrieval task with the traditional document retrieval task. We investigate how different topic representations and language model smoothing approaches affect the performance of the two tasks. We evaluate our ideas against the INEX 2002 XML retrieval test-suite.

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