Evaluating large-scale knowledge resources across languages
Montse Cuadros, Germán Rigau, Mauro Castillo Valdés · 2007
This paper presents an empirical evaluation in a multilingual scenario of the semantic knowledge present on publicly available large-scale knowl-edge resources. The study covers a wide range of manually and automatically derived large-scale knowledge resources for English and Spanish. In order to establish a fair and neutral comparison, the knowledge resources are evaluated using the same method on two Word Sense Disambigua-tion tasks (Senseval-3 English and Spanish Lex-ical Sample Tasks). First, this study empirically demonstrates that the combination of the knowl-edge contained in these resources surpass the most frequent sense classifier for English. Sec-ond, we also show that this large-scale topical knowledge acquired from one language can be successfully ported to other languages.