System Summary and Timing
  Organization Name: IRIT TOULOUSE
  List of Run ID's: mercure-r1, mercure-r2, mercure-a1, mercure-a2

  Construction of Indices, Knowledge Bases, and other Data Structures 

    Methods Used to build Data Structures 

    - Length (in words) of the stopword list:  572
    - Controlled Vocabulary?: NO 
    - Stemming Algorithm:  Porter             
      - Morphological Analysis:  NO
    - Term Weighting:  YES
    -  Phrase Discovery?:  NO            
    -  Syntactic Parsing?:  NO
    -  Word Sense Disambiguation?: NO
    -  Heuristic Associations (including short definition)?:  NO
    -  Spelling Checking (with manual correction)?:  NO
    -  Spelling Correction?:  NO
    -  Proper Noun Identification Algorithm?:  NO 
    -  Tokenizer?:              
      - Patterns which are tokenized:  NO 
    -  Manually-Indexed Terms?:  NO 
    -  Other Techniques for building Data Structures: None 

    Statistics on Data Structures built from TREC Text

    - Inverted index           
      - Run ID:  mercure-r1, mercure-r2
      - Total Storage (in MB):  250
      - Total Computer Time to Build (in hours):  ~12
      - Automatic Process? (If not, number of manual hours):  YES
      - Use of Term Positions?: NO
      - Only Single Terms Used?:  YES
    - Inverted index           
      - Run ID:  mercure-a1, mercure-a2
      - Total Storage (in MB):  330
      - Total Computer Time to Build (in hours): ~17 
      - Automatic Process? (If not, number of manual hours):  YES
      - Use of Term Positions?: NO
      - Only Single Terms Used?:  YES
    - Clusters           
    - N-grams, Suffix arrays, Signature Files           
    - Knowledge Bases            
      - Use of Manual Labor                  
    - Special Routing Structures           
    - Other Data Structures built from TREC text           

  Query construction

    Automatically Built Queries (Ad-Hoc)

    - Topic Fields Used:  mercure-a2 (description), mercure-a1 (ALL)
    - Average Computer Time to Build Query (in cpu seconds):  ~ 1 second/query
    - Method used in Query Construction          
      - Term Weighting (weights based on terms in topics)?:  YES
      - Phrase Extraction from Topics?: NO
      - Syntactic Parsing of Topics?: NO
      - Word Sense Disambiguation?:  NO 
      - Proper Noun Identification Algorithm?: NO 
      - Tokenizer?:                 
        - Patterns which are Tokenized:  NO
      - Heuristic Associations to Add Terms?: not used 
      - Expansion of Queries using Previously-Constructed Data Structure?:  
      - Automatic Addition of Boolean Connectors or Proximity Operators?: NO

    Automatically Built Queries (Routing)

    - Topic Fields Used:  ALL 
    - Average Computer Time to Build Query (in cpu seconds):  ~ 1 seconde/query
    - Method used in Query Construction          
      - Terms Selected From            
        - Topics:  YES
        - All Training Documents: YES 
        - Only Documents with Relevance Judgments:  YES 
      - Term Weighting with Weights Based on terms in            
        - Topics: YES 
        - All Training Documents:  YES
        - Documents with Relevance Judgments:  YES
      - Phrase Extraction from            
      - Syntactic Parsing            
      - Word Sense Disambiguation using            
      - Proper Noun Identification Algorithm from            
      - Tokenizer             
      - Heuristic Associations to Add Terms from            
      - Expansion of Queries using Previously-Constructed Data Structure:
      - Automatic Addition of Boolean connectors or Proximity Operators using 
information from             

  Searching

    Search Times

      - Run ID:  mercure-r1, mercure-r2, mercure-a1, mercure-a2
      - Computer Time to Search (Average per Query, in CPU seconds): 
~2-5second/query

    Machine Searching Methods

      - Neural Networks?: YES 

    Factors in Ranking

      - Term Frequency?:  YES
      - Inverse Document Frequency?:  YES
      - Document Length?:  YES
      - Other:  neural activation

    Machine Information

    - Machine Type for TREC Experiment:  Sun (Ultra)
    - Amount of Hard Disk Storage (in MB): 5GB 
    - Amount of RAM (in MB): 64 
    - Clock Rate of CPU (in MHz): 128