Text REtrieval Conference (TREC)
|
Organization Name: LangPower Computing, Inc. | Run ID: LPC3 |
Section 1.0 System Summary and Timing |
---|
Section 1.1 System Information |
Hardware Model Used for TREC Experiment:PC Pentium IV. System Use:SHARED Total Amount of Hard Disk Storage:80 Gb Total Amount of RAM:1000 MB Clock Rate of CPU:3.6 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: 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 |
---|
Length of the stopword list:0 words Type of Stemming:NONE Controlled Vocabulary:NO Term weighting:YES
Phrase discovery:YES
Type of Spelling Correction:AUTOMATIC CORRECTION Manually-Indexed Terms:NO Proper Noun Identification:NO Syntactic Parsing:YES Tokenizer:YES Word Sense Disambiguation:NO Other technique:YES Additional comments:term weighting is article-specific and ajusted based on the number of noun-phrases. |
Section 3.0 Statistics on Data Structures Built from TREC Text |
---|
Section 3.1 First Data Structure |
Structure Type:OTHER DATA STRUCTURE Type of other data structure used:phrase-based indexing structure Brief description of method using other data structure:toward the concept-oriented indexing Total storage used:2 Gb Total computer time to build:10 hours Automatic process:YES Manual hours required:hours Type of manual labor:NONE Term positions used:YES Only single terms used:NO Concepts (vs. single terms) represented:YES
Type of representation:noun phrase Auxilary files used:NO
Additional comments:cut-off for the concept represented was at 4, the frequency of the concept in the data collection. |
Section 3.2 Second Data Structure |
Structure Type:NONE 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 3.3 Third Data Structure |
Structure Type:NONE 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 |
---|
File type:LEXICON Domain type:DOMAIN INDEPENDENT Total Storage:0.017 Gb Number of Concepts Represented:0 concepts Type of representation:RULES Automatic or Manual:AUTOMATIC
Type of Manual Labor used:NONE Additional comments:data-specific lexicon was not build for this run. |
File is:NONE Total Storage:Gb Number of Concepts Represented:concepts Type of representation:NONE Additional comments: |
Section 5.0 Computer Searching |
---|
Average computer time to search (per query): 1 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:NO Fuzzy logic:NO Free text scanning:NO Neural networks:NO Conceptual graphic matching:NO Other:YES Additional comments: |
Section 5.2 Factors in Ranking |
Term frequency:YES Inverse document frequency:NO Other term weights:YES Semantic closeness:NO Position in document:NO Syntactic clues:YES Proximity of terms:NO Information theoretic weights:NO Document length:YES Percentage of query terms which match:YES N-gram frequency:NO Word specificity:NO Word sense frequency:NO Cluster distance:NO Other:NO Additional comments: |
Section 6.0 Query Construction |
---|
Section 6.1 Automatically Built Queries for Ad-hoc Tasks |
Topic fields used: TITLE DESCRIPTION NARRATIVE Average computer time to build query 1 CPU seconds Term weighting (weights based on terms in topics): NO Phrase extraction from topics: YES Syntactic parsing of topics: YES Word sense disambiguation: NO Proper noun identification algorithm: NO Tokenizer: NO Expansion of queries using previously constructed data structures: NO Automatic addition of: NONE |
Section 6.2 Manually Constructed Queries for Ad-hoc Tasks |
Topic fields used: TITLE DESCRIPTION NARRATIVE Average time to build query? 10 minutes Type of query builder: SYSTEM EXPERT Tool used to build query: NONE Method used in intial query construction? BOOLEAN CONNECTORS Total CPU time for all iterations: 1 seconds Clock time from initial construction of query to completion of final query: 1 minutes Average number of iterations: 2 Average number of documents examined per iteration: 2 Minimum number of iterations: 1 Maximum number of iterations: 5 The end of an iteration is determined by: topic text Automatic term reweighting from relevant documents: NO Automatic query expansion from relevant documents: NO Other automatic methods: NO Manual methods used: YES |
Disclaimer: Contents of this online document are not necessarily the official views of, nor endorsed by the U.S. Government, the Department of Commerce, or NIST. |