Text REtrieval Conference (TREC)
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Organization Name: University of Waterloo (MultiText) | Run ID: uwmt6r0 |
Section 1.0 System Summary and Timing |
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Section 1.1 System Information |
Hardware Model Used for TREC Experiment:Cyrix P200+ System Use:DEDICATED Total Amount of Hard Disk Storage:12 Gb Total Amount of RAM:64 MB Clock Rate of CPU:150 MHz |
Section 1.2 System Comparisons |
Amount of developmental "Software Engineering":NONE 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:0 words Type of Stemming:NONE Controlled Vocabulary:NO Term weighting:NO
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: Total storage used:0.5 Gb Total computer time to build:0.4 hours Automatic process:YES Manual hours required:hours Type of manual labor:NONE Term positions used:YES Only single terms used:YES Concepts (vs. single terms) represented:NO
Type of representation: Auxilary files used:NO
Additional comments: |
Section 3.2 Second Data Structure |
Structure Type:OTHER DATA STRUCTURE Type of other data structure used:text database Brief description of method using other data structure: Total storage used:0.5 Gb Total computer time to build:0.1 hours Automatic process:YES Manual hours required:hours Type of manual labor:NONE Term positions used:YES 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: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:YES Additional comments:GCL with tiered cover density ranking |
Section 5.2 Factors in Ranking |
Term frequency:NO Inverse document frequency:NO Other term weights:NO Semantic closeness:NO Position in document:YES Syntactic clues:NO Proximity of terms: Information theoretic weights:NO Document length:NO Percentage of query terms which match:NO N-gram frequency: Word specificity:NO Word sense frequency:NO Cluster distance:NO Other:NO Additional comments: |
Section 6.0 Query Construction |
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Section 6.1 Automatically Built Queries for Routing Tasks |
Topic fields used: TITLE DESCRIPTION NARRATIVE Average computer time to build query CPU seconds Terms selected from: TOPICS Term weighting with weights based on terms in: NONE Phrase extraction from topics: NONE Syntactic parsing of topics: NONE Word sense disambiguation: NONE Proper noun identification algorithm: NONE Tokenizer: NONE Additional comments: Expansion of queries using previously constructed data structures: Automatic addition of NONE using information from |
Section 6.2 Manually Constructed Queries for Routing Tasks |
Topic fields used: TITLE NARRATIVE Average time to build query? 30 minutes Type of query builder: SYSTEM EXPERT Tool used to build query: NONE Data used for building query from: TRAINING TOPICS Addition of terms not included in topic: YES Total CPU time for all iterations: 0 seconds Clock time from initial construction of query to completion of final query: 0 minutes Average number of iterations: 1 Average number of documents examined per iteration: 0 Minimum number of iterations: 1 Maximum number of iterations: 1 The end of an iteration was determined by: n/a Automatic term reweighting from relevant documents: Automatic query expansion from relevant documents: Other automatic methods: Manual methods used: |
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