Text REtrieval Conference (TREC)
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Organization Name: Rutgers University / DiscoWeb Group | Run ID: disco3 |
Section 1.0 System Summary and Timing |
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Section 1.1 System Information |
Hardware Model Used for TREC Experiment:Sun E10000 System Use:SHARED Total Amount of Hard Disk Storage:210 Gb Total Amount of RAM:8192 MB Clock Rate of CPU:400 MHz |
Section 1.2 System Comparisons |
Amount of developmental "Software Engineering":ALL List of features that are not present in the system, but would have been beneficial to have:Earlier availability of this hardware and storage. List of features that are present in the system, and impacted its performance, but are not detailed within this form:8 CPUs available on a shared basis. |
Section 2.0 Construction of Indices, Knowledge Bases, and Other Data Structures |
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Length of the stopword list:0 words Type of Stemming:NONE Controlled Vocabulary:NO Term weighting:NO
Phrase discovery:YES
Type of Spelling Correction:NONE Manually-Indexed Terms:NO Proper Noun Identification:NO Syntactic Parsing:NO Tokenizer:NO 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: Total storage used: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:NO
Additional comments:Disk failure prevents answering sizes (we no longer have the data). We did not retain the timings. Used inverted indices of terms and term-bigrams. |
Section 3.2 Second Data Structure |
Structure Type:OTHER DATA STRUCTURE Type of other data structure used:forward and reverse indices Brief description of method using other data structure: Total storage used:Gb Total computer time to build:hours Automatic process:YES Manual hours required:hours Type of manual labor:MOSTLY MACHINE BUILT USING MANUAL CORRECTION Term positions used:NO Only single terms used:NO 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:NONE Domain type:DOMAIN INDEPENDENT Total Storage:Gb Number of Concepts Represented:concepts Type of representation:NONE Automatic or Manual:
Type of Manual Labor used:NONE Additional comments: |
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): CPU seconds |
Times broken down by component(s): |
Section 5.1 Searching Methods |
Vector space model:NO Probabilistic model:NO Cluster searching:NO N-gram matching:NO Boolean matching:YES Fuzzy logic:NO Free text scanning:NO Neural networks:NO Conceptual graphic matching:NO Other:NO Additional comments: |
Section 5.2 Factors in Ranking |
Term frequency:YES Inverse document frequency:NO Other term weights:NO Semantic closeness:NO Position in document:YES Syntactic clues:NO Proximity of terms:YES Information theoretic weights:NO Document length:NO Percentage of query terms which match:YES N-gram frequency:YES Word specificity:YES Word sense frequency:NO Cluster distance:NO Other:NO Additional comments: |
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