SP500215 Appendix B: System Features Appendix National Institute of Standards and Technology D. K. Harman V. SYSThM COMPARISON 4 NAME [ Dortmund [OCRerr]_Cornell J Berkeley [ Rutgers [ Siemens [OCRerr] UMASS IVPi None except for "Our" system is Basic system w[OCRerr] the probabilistic essentially version of SMA logic. The For the data lusion SMART; many enhanceti Berkeley system is part, approximately SMART has INQUERY is a pnorm query p! ch Several years Several an experimental 60 hours, for the been well- research added from pre years prototype only, query combination engineered with system. About before TRE[OCRerr] mg" went programmed as a parts, approximately a primary goal 10 person years TREC consist[OCRerr] minimal 150 hours. of flexibility, not went into its of outside prog lent? modification of the raw speed. development mergmg combir SMART system. Modifications prior to these results from in[OCRerr] made by the experiments. SMART retrie[OCRerr] SMART group adding support at Cornell for query and inde last years TREC during a single were used in these runs. Yes, see discussion Use of inverted If the feature in SMART's enough disk sp )propriate vectors for the documentation: have significani S, could query terms were SMART is "not For the data lusion Yes, at least a the retrieval tir tem be stored in a cache, Of course strongly optimized part, by a factor of factor of 2. `multiple retrie ) Run query regression for any one 8; for the other added to SMA By How would take 20-30% particular use." parts, unknown. restricted by th less time. The Berkeley SMART code system has roughly have been ma[OCRerr] the same efficiency implemented a characteristics as retrieval systen SMART. being fitted int code. For the data lusion part, a lookup No feature Might benefit from procedure to Phrase identifi recognition a conflator, convert raw scores Word finder. matching; pro[OCRerr] atures are (eg., thesaurus, to ranks, based on (An onAine identification. that would company disambiguator, and the training set. concept [OCRerr][OCRerr]our system? names, the use of many This is necessary for association geographical other clue types. true routing as database). locations, opposed to batch dates, scoring of "routing" amounts of queries. money.