Constructing a poor man’s wordnet in a resource-rich world

Abstract : In this paper we present a language-independent, fully modular and automatic approach to bootstrap a wordnet for a new language by recycling different types of already existing language resources, such as machine-readable dictionaries, parallel corpora, and Wikipedia. The approach, which we apply here to Slovene, takes into account monosemous and polysemous words, general and specialised vocabulary as well as simple and multi-word lexemes. The extracted words are then assigned one or several synset ids, based on a classifier that relies on several features including distributional similarity. Finally, we identify and remove highly dubious (literal, synset) pairs, based on simple distributional information extracted from a large corpus in an unsupervised way. Automatic, manual and task-based evaluations show that the resulting resource, the latest version of the Slovene wordnet, is already a valuable source of lexico-semantic information.
Type de document :
Article dans une revue
Language Resources and Evaluation, Springer Verlag, 2015, pp.35. 〈10.1007/s10579-015-9295-6〉
Liste complète des métadonnées

https://hal.inria.fr/hal-01174492
Contributeur : Benoît Sagot <>
Soumis le : jeudi 9 juillet 2015 - 11:48:25
Dernière modification le : mercredi 12 octobre 2016 - 01:23:56

Identifiants

Collections

Citation

Darja Fišer, Benoît Sagot. Constructing a poor man’s wordnet in a resource-rich world. Language Resources and Evaluation, Springer Verlag, 2015, pp.35. 〈10.1007/s10579-015-9295-6〉. 〈hal-01174492〉

Partager

Métriques

Consultations de la notice

216