Abstract | ||
---|---|---|
The existence of large-scale lexical resources for Serbian, e-dictionaries in particular, coupled with local grammars in the form of finite-state transducers, enabled the development of a complex system for named entity recognition and tagging. The system is not general in nature, but targets some specific types of name, temporal and numerical expressions. In order to improve the precision of reco... |
Year | DOI | Venue |
---|---|---|
2014 | 10.1093/logcom/exs079 | Journal of Logic and Computation |
Keywords | Field | DocType |
Lexical resources,finite-state transducers,local grammars,named entity recognition,Serbian language,system evaluation | Entity linking,Rule-based machine translation,Algorithm,Natural language processing,Artificial intelligence,Named-entity recognition,Mathematics | Journal |
Volume | Issue | ISSN |
24 | 2 | 0955-792X |
Citations | PageRank | References |
2 | 0.42 | 8 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
cvetana krstev | 1 | 30 | 12.10 |
Ivan Obradović | 2 | 14 | 6.89 |
Milos Utvic | 3 | 2 | 1.44 |
Duško Vitas | 4 | 26 | 7.62 |