Skip to Main content Skip to Navigation
Conference papers

Modeling topic dependencies in semantically coherent text spans with copulas

Georgios Balikas 1 Hesam Amoualian 1 Marianne Clausel 2 Gaussier Eric 1 Massih-Reza Amini 1
1 AMA - Analyse de données, Modélisation et Apprentissage automatique [Grenoble]
LIG - Laboratoire d'Informatique de Grenoble
2 DAO - Données, Apprentissage et Optimisation
LJK - Laboratoire Jean Kuntzmann
Abstract : The exchangeability assumption in topic models like Latent Dirichlet Allocation (LDA) often results in inferring inconsistent topics for the words of text spans like noun-phrases, which are usually expected to be topically coherent. We propose copulaLDA, that extends LDA by integrating part of the text structure to the model and relaxes the conditional independence assumption between the word-specific latent topics given the per-document topic distributions. To this end, we assume that the words of text spans like noun-phrases are topically bound and we model this dependence with copulas. We demonstrate empirically the effectiveness of copulaLDA on both intrinsic and extrinsic evaluation tasks on several publicly available corpora.
Keywords : Copulas
Document type :
Conference papers
Complete list of metadata
https://hal.archives-ouvertes.fr/hal-01406613
Contributor : Massih-Reza Amini Connect in order to contact the contributor
Submitted on : Thursday, December 1, 2016 - 1:33:54 PM
Last modification on : Wednesday, November 3, 2021 - 6:44:56 AM

Identifiers

  • HAL Id : hal-01406613, version 1

Collections

CNRS | LJK | LIG | LJK-PS-DAO | LJK_PS | INRIA | UGA | LIG_SIDCH_APTIKAL | LIG_SIDCH

Citation

Georgios Balikas, Hesam Amoualian, Marianne Clausel, Gaussier Eric, Massih-Reza Amini. Modeling topic dependencies in semantically coherent text spans with copulas. International Conference on Computational Linguistics (COLING), Dec 2016, Osaka, Japan. ⟨hal-01406613⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

245