Name
Abstract | ||
|---|---|---|
Vector space techniques can be used for extracting semantically similar words from the co-occurrence statistics of words in large text data collections. We have used a technique called Random Indexing to accumulate context vectors for Swedish, French and Italian. We have then used the context vectors to perform automatic query expansion. In this paper, we report on our CLEF 2002 experiments on Swedish, French and Italian monolingual query expansion. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/978-3-540-45237-9_26 | ADVANCES IN CROSS-LANGUAGE INFORMATION RETRIEVAL |
Field | DocType | Volume |
Vector space,Query expansion,Random indexing,Information retrieval,Computer science,Search engine indexing,Natural language processing,Artificial intelligence,Latent semantic analysis,Clef,Statistical analysis | Conference | 2785 |
ISSN | Citations | PageRank |
0302-9743 | 9 | 0.80 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Magnus Sahlgren | 1 | 196 | 25.14 |
| Jussi Karlgren | 2 | 831 | 140.24 |
| Rickard Cöster | 3 | 134 | 11.03 |
| Timo Järvinen | 4 | 323 | 56.75 |