Warianty tytułu
Języki publikacji
Abstrakty
The paper presents the annotation of a Slovene language corpus at the semantic level. Manual annotation was performed in two cycles with an automatically generated semantic lexicon according to the wordnet model. The analysis of the results shows that nearly all polysemous words in the corpus can be assigned a sense from our wordnet but also that the task was quite challenging; in many cases, wordnet sense distinctions are too fine-grained even for human annotators to distinguish between them. This is why annotation with more coarse-grained senses could prove to be more successful.
Słowa kluczowe
Czasopismo
Rocznik
Numer
Strony
89-100
Opis fizyczny
Rodzaj publikacji
ARTICLE
Twórcy
autor
autor
- Darja Fiser, Department of Translation, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia
Bibliografia
Typ dokumentu
Bibliografia
Identyfikatory
CEJSH db identifier
10PLAAAA077419
Identyfikator YADDA
bwmeta1.element.09cea3cd-cb15-33c0-9dbe-bbb43d63db6f