Name
Abstract | ||
|---|---|---|
Our first objective in participating in this domain-specific evaluation campaign is to propose and evaluate various indexing and search strategies for the German, English and Russian languages, and thus obtain retrieval effectiveness superior to that of language-independent approaches (n-gram). To do so we evaluated the GIRT-4 test-collection using the Okapi model, various IR models based on the Divergence from Randomness (DFR) paradigm, the statistical language model (LM) together with the classical tfċidf vector-processing scheme. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-642-04447-2_24 | CLEF |
Keywords | Field | DocType |
classical tf,various indexing,domain-specific evaluation campaign,girt-4 test-collection,language-independent approach,various ir model,okapi model,domain-specific ir,idf vector-processing scheme,russian language,statistical language model | Information retrieval,Query expansion,Computer science,Search engine indexing,Artificial intelligence,Natural language processing,Language model,Stop words,Clef,Randomness,German | Conference |
Volume | ISSN | ISBN |
5706 | 0302-9743 | 3-642-04446-8 |
Citations | PageRank | References |
1 | 0.39 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Claire Fautsch | 1 | 51 | 7.18 |
| Ljiljana Dolamic | 2 | 125 | 10.84 |
| Jacques Savoy | 3 | 1601 | 169.85 |