Distributional Thesauri for Information Retrieval and vice versa - Archive ouverte HAL Access content directly
Conference Papers Year :

Distributional Thesauri for Information Retrieval and vice versa


Distributional thesauri are useful in many tasks of Natural Language Processing. In this paper, we address the problem of building and evaluating such thesauri with the help of Information Retrieval (IR) concepts. Two main contributions are proposed. First, following the work of (Claveau et al., 2014), we show how IR tools and concepts can be used with success to build a thesaurus. Through several experiments and by evaluating directly the results with reference lexicons, we show that some IR models outperform state-of-the-art systems. Secondly, we use IR as an applicative framework to indirectly evaluate the generated thesaurus. Here again, this task-based evaluation validates the IR approach used to build the thesaurus. Moreover, it allows us to compare these results with those from the direct evaluation framework used in the literature. The observed differences bring these evaluation habits into question.
Fichier principal
Vignette du fichier
Claveau_LREC16.pdf (382.12 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01394770 , version 1 (09-11-2016)


  • HAL Id : hal-01394770 , version 1


Vincent Claveau, Ewa Kijak. Distributional Thesauri for Information Retrieval and vice versa. Language and Resource Conference, LREC, May 2016, Portoroz, Slovenia. ⟨hal-01394770⟩
257 View
157 Download


Gmail Facebook Twitter LinkedIn More