1 code implementation • ACL 2017 • Hesam Amoualian, Wei Lu, Eric Gaussier, Georgios Balikas, Massih R. Amini, Marianne Clausel
This paper presents an LDA-based model that generates topically coherent segments within documents by jointly segmenting documents and assigning topics to their words.
1 code implementation • COLING 2016 • Georgios Balikas, Hesam Amoualian, Marianne Clausel, Eric Gaussier, Massih R. Amini
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.
no code implementations • NeurIPS 2013 • Rohit Babbar, Ioannis Partalas, Eric Gaussier, Massih R. Amini
We study in this paper flat and hierarchical classification strategies in the context of large-scale taxonomies.