Name
Abstract | ||
|---|---|---|
Document classification based on the lexical-semantic network, wordnet, is presented. Two types of document classification in Serbian have been experimented with classification based on chosen concepts from Serbian WordNet (SWN) and proper names-based classification. Conceptual document classification criteria are constructed from hierarchies rooted in a set of chosen concepts (first case) or in hierarchies rooted in some of the proper names' hypemyms (second case). A classificator of the first type is trained and then tested on an indexed and already classified Ebart corpus of Serbian newspapers (476917 articles). Precision, recall and F-measure show that this type of classification is promising although incomplete due mainly to SWN incompleteness. In the context of proper names-based classification, a proper names ontology based on the SWN is presented in the paper. A distance based similarity measure is defined, based on Euclidean and Manhattan distances. Classification of a subset of Contemporary Serbian Language Corpus is presented. |
Year | Venue | Keywords |
|---|---|---|
2010 | KDIR 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL | Document classification,Wordnet,SWN,Ontology,Proper name |
Field | DocType | Citations |
Document classification,Ontology,Information retrieval,Computer science,Artificial intelligence,Machine learning | Conference | 1 |
PageRank | References | Authors |
0.40 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gordana Pavlovic-Lazetic | 1 | 35 | 7.82 |
| Jelena Graovac | 2 | 4 | 1.80 |