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Early and late combinations of criteria for reranking distributional thesauri

Abstract : In this article, we first propose to exploit a new criterion for improving distributional thesauri. Following a bootstrapping perspective, we select relations between the terms of similar nominal compounds for building in an unsupervised way the training set of a classifier performing the reranking of a thesaurus. Then, we evaluate several ways to combine thesauri reranked according to different criteria and show that exploiting the complementary information brought by these criteria leads to significant improvements.
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Submitted on : Thursday, July 19, 2018 - 10:14:51 AM
Last modification on : Thursday, February 17, 2022 - 10:08:05 AM


  • HAL Id : cea-01844049, version 1


Olivier Ferret. Early and late combinations of criteria for reranking distributional thesauri. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Short Papers), Jul 2015, Beijing, China. pp.470-476. ⟨cea-01844049⟩



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