Abstract | ||
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Ontology learning from text can be viewed as auxilliary tech- nology for knowledge management application design. We proposed a technique for extraction of lexical entries that may give cue in assign- ing semantic labels to otherwise 'anonymous' non-taxonomic relations. In this paper we present experiments on semantically annotated corpus SemCor, and compare them with previous experiments on plain texts. |
Year | Venue | DocType |
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2004 | LSTKM@EKAW | Conference |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Martin Kavalec | 1 | 35 | 3.80 |
Vojtech Svatek | 2 | 122 | 7.02 |