Text REtrieval Conference (TREC)
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Organization Name: Eurospider IT AG (i.c. with ETH Zurich) | Run ID: 98EITful |
Section 1.0 System Summary and Timing |
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Section 1.1 System Information |
Hardware Model Used for TREC Experiment:Sun Ultra5 System Use:DEDICATED Total Amount of Hard Disk Storage:20 Gb Total Amount of RAM:128 MB Clock Rate of CPU:270 MHz |
Section 1.2 System Comparisons |
Amount of developmental "Software Engineering":SOME List of features that are not present in the system, but would have been beneficial to have: List of features that are present in the system, and impacted its performance, but are not detailed within this form: |
Section 2.0 Construction of Indices, Knowledge Bases, and Other Data Structures |
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Length of the stopword list:206 words Type of Stemming:OTHER Controlled Vocabulary:NO Term weighting:YES
Phrase discovery:NO
Type of Spelling Correction:NONE Manually-Indexed Terms:NO Proper Noun Identification:NO Syntactic Parsing:NO Tokenizer:YES Word Sense Disambiguation:NO Other technique:NO Additional comments: |
Section 3.0 Statistics on Data Structures Built from TREC Text |
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Section 3.1 First Data Structure |
Structure Type:INVERTED INDEX Type of other data structure used: Brief description of method using other data structure:(one per target language) Total storage used:~1 Gb Total computer time to build:hours Automatic process:YES Manual hours required:hours Type of manual labor:NONE Term positions used:NO Only single terms used:YES Concepts (vs. single terms) represented:NO
Type of representation: Auxilary files used:YES
Additional comments: |
Section 3.2 Second Data Structure |
Structure Type:OTHER DATA STRUCTURE Type of other data structure used:similarity thesauri Brief description of method using other data structure:(one per target language) Total storage used:~0.25 Gb Total computer time to build:48 hours Automatic process:YES Manual hours required:hours Type of manual labor:NONE Term positions used:NO Only single terms used:YES Concepts (vs. single terms) represented:NO
Type of representation: Auxilary files used:NO
Additional comments: |
Section 3.3 Third Data Structure |
Structure Type: Type of other data structure used: Brief description of method using other data structure: Total storage used:Gb Total computer time to build:hours Automatic process: Manual hours required:hours Type of manual labor:NONE Term positions used: Only single terms used: Concepts (vs. single terms) represented:
Type of representation: Auxilary files used:
Additional comments: |
Section 4.0 Data Built from Sources Other than the Input Text |
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File type:THESAURUS Domain type:DOMAIN SHARED Total Storage:.25 Gb Number of Concepts Represented:concepts Type of representation:NONE Automatic or Manual:AUTOMATIC
Type of Manual Labor used:NONE Additional comments:(the similarity thesauri were built from both the TREC and other texts) |
File is:NONE Total Storage:Gb Number of Concepts Represented:concepts Type of representation:NONE Additional comments: |
Section 5.0 Computer Searching |
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Average computer time to search (per query): 60 CPU seconds |
Times broken down by component(s): |
Section 5.1 Searching Methods |
Vector space model:NO Probabilistic model:YES Cluster searching:NO N-gram matching:NO Boolean matching:NO Fuzzy logic:NO Free text scanning:NO Neural networks:NO Conceptual graphic matching:NO Other:YES Additional comments:pseudo-translation by similarity thesauri |
Section 5.2 Factors in Ranking |
Term frequency:YES Inverse document frequency:YES Other term weights:NO Semantic closeness:NO Position in document:NO Syntactic clues:NO Proximity of terms:NO Information theoretic weights:NO Document length:YES Percentage of query terms which match:NO N-gram frequency:NO Word specificity:NO Word sense frequency:NO Cluster distance:NO Other:NO Additional comments: |
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