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\textsc{Computer Science}
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\textsc{Seminar}
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\textit{Beyond "Bag of Words": A Framework for Conceptual Retrieval and an Application in Clinical Question Answering}
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Jimmy Lin\par
(iSchool, University of Maryland)
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\textbf{Abstract:} Although the field of information retrieval has made enormous progress
in the last half century, virtually all systems are still built on the
remarkably simple concept of "counting words", under assumptions of
term independence. Although these methods have been empirically
validated (e.g., in TREC evaluations), it is a simple fact that words
alone cannot capture the semantic content of documents and information
needs.

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In this talk, I will discuss a framework for "conceptual retrieval"
that articulates the types of knowledge that are important for
information seeking. This general framework is instantiated in a
clinical question answering system that operationalizes the principles
of evidence-based medicine (EBM). Experiments show that an EBM-based
scoring algorithm outperforms a state-of-the-art baseline that employs
only term statistics. Ablation studies further yield a better
understanding of the performance contributions of different
components.

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I will conclude by discussing how other domains can benefit from
knowledge-based approaches and the general applicability of this
proposed framework.\vspace{\fill}
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Thursday, February 21, 2008, 4:00 pm\par
Mathematics and Science Center: W201
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Light refreshments will be served
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\textsc{Mathematics and Computer Science}\par
\textsc{Emory University}
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