This paper reports our exploratory analysis of the use of resources in three Intelligent Information Access (IIA) research areas: Automatic Classification, Question Answering, and Cross-Language Information Retrieval. Forty-three recently peer-reviewed papers from three annual conferences (SIGIR, ACL, and HLT) were selected and analyzed. The purpose of this analysis is twofold: 1) toexplore methodological issues for large-scale content analysis of resources used in IIA research, and 2) to achieve a basic understanding of various ways thatresources can be used in the three IIA subfields. The work reported in this paper is part of an effort to systematically explore the information needs for resourcesin Intelligent Information Access research.
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