Name
Abstract | ||
|---|---|---|
In this paper we describe our participation in CLEF-IP 2009 (prior art search task). This was the first year of the task and we focused on how to build effectively a prior art query from a patent. Basically, we implemented simple strategies to extract terms from some textual fields of the patent documents and gave more weight to title terms. We ran experiments with the well-known BM25 model. Although we paid little attention to language-dependent issues, our performance was usually among the top 3 groups participating in the task. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-15754-7_49 | CLEF (1) |
Keywords | Field | DocType |
simple strategy,bm25 model,prior art search task,textual field,good query,title term,prior art query,patent document | World Wide Web,Information retrieval,Computer science,Query formulation | Conference |
Volume | ISSN | ISBN |
6241 | 0302-9743 | 3-642-15753-X |
Citations | PageRank | References |
1 | 0.35 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Carlos Toucedo | 1 | 1 | 0.68 |
| David E. Losada | 2 | 326 | 40.63 |