Information Needs and Automatic Queries
نویسنده
چکیده
Tarragon Consulting Corporation participated in the adhoc retrieval task of the TREC 2004 Genomics Track. We used a standard deployment of the K2 search engine from Verity, Inc. in which we exploited the free-text query parser to interpret the information need statements provided in the task. The primary goal of our participation was to establish a performance baseline using “of-the-shelf” tools and then to explore how knowledge-based extensions could enhance performance. Time and resource constraints prevented us from performing the knowledge-based experiments, but our official submissions show that reasonable performance can be achieved using just our baseline strategy.
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