Text REtrieval Conference (TREC)
System Description

Organization Name: Weill Cornell Medical College Run ID: icbpassage
Section 1.0 System Summary and Timing
Section 1.1 System Information
Hardware Model Used for TREC Experiment: Dell
System Use: SHARED
Total Amount of Hard Disk Storage: 450 Gb
Total Amount of RAM: 4096 MB
Clock Rate of CPU: 3000 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: MORPHOLOGICAL
Controlled Vocabulary: NO
Term weighting: YES
  • Additional Comments on term weighting: bm25
Phrase discovery: NO
  • Kind of phrase:
  • Method used: OTHER
Type of Spelling Correction: NONE
Manually-Indexed Terms: NO
Proper Noun Identification: NO
Syntactic Parsing: NO
Tokenizer: YES
Word Sense Disambiguation: NO
Other technique: YES
Additional comments: A single run 80 tag=F-M-V-MIS-080B,scorerName=vigna,runType=manual,shortfn=true,passages=false Manual run with minimal interval semantics performed with Twease using a slider value of 80. This run was performed with the same Twease software version deployed at Twease.org as of July 2007.
Section 3.0 Statistics on Data Structures Built from TREC Text
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: 6.22 Gb
Total computer time to build: 2 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
  • Number of concepts represented:
Type of representation:
Auxilary files used: YES
  • Type of auxilary files used: Forward index
Additional comments:
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:
  • Number of concepts represented:
Type of representation:
Auxilary files used:
  • Type of 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:
  • Number of concepts represented:
Type of representation:
Auxilary files used:
  • Type of auxilary files used:
Additional comments:
Section 4.0 Data Built from Sources Other than the Input Text
Internally-built Auxiliary File

File type: THESAURUS
Domain type: DOMAIN SHARED
Total Storage: 1 Gb
Number of Concepts Represented: 190347 concepts
Type of representation: NONE
Automatic or Manual: AUTOMATIC
  • Total Time to Build: 1.3 hours
  • Total Time to Modify (if already built): 0 hours
Type of Manual Labor used: NONE
Additional comments:
Externally-built Auxiliary File

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): 7 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: NO
Additional comments:
Section 5.2 Factors in Ranking
Term frequency: YES
Inverse document frequency: YES
Other term weights: NO
Semantic closeness: YES
Position in document: YES
Syntactic clues: NO
Proximity of terms: YES
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: YES
Additional comments: Minimal interval semantics
Section 6.0 Query Construction
Section 6.1 Automatically Built Queries for Ad-hoc Tasks
Topic fields used:  NONE        
Average computer time to build query    CPU seconds
Term weighting (weights based on terms in topics): NO
Phrase extraction from topics: NO
Syntactic parsing of topics: NO
Word sense disambiguation: NO
Proper noun identification algorithm: NO
Tokenizer: NO
  • Patterns which were tokenized: Custom
Expansion of queries using previously constructed data structures: NO
  • Comment:
Automatic addition of: PROXIMITY OPERATORS
Section 6.2 Manually Constructed Queries for Ad-hoc Tasks
Topic fields used:       NARRATIVE  
Average time to build query? 1   minutes
Type of query builder: DOMAIN EXPERT
Tool used to build query: NONE
Method used in intial query construction? BOOLEAN CONNECTORS
  • If yes, what was the source of terms?
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: 0
Average number of documents examined per iteration: 0
Minimum number of iterations: 0
Maximum number of iterations: 0
The end of an iteration is determined by: NA
Automatic term reweighting from relevant documents: NO
Automatic query expansion from relevant documents: NO
  • Type of automatic query expansion: ALL TERMS IN \
Other automatic methods: NO
  • Other automatic methods included:
Manual methods used: YES
  • Type of manual method used: USING INDIVIDUAL JUDGMENT (NO SET ALGORITHM)
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