1 citations · 1 across the 4 of their papers we have counts for
4 papers
Document Network Projection in Pretrained Word Embedding Space
Antoine Gourru, Adrien Guille, Julien Velcin +1
We present Regularized Linear Embedding (RLE), a novel method that projects a collection of linked documents (e.g. citation network) into a pretrained word embedding space. In addi…
Inductive Document Network Embedding with Topic-Word Attention
Robin Brochier, Adrien Guille, Julien Velcin
Document network embedding aims at learning representations for a structured text corpus i.e. when documents are linked to each other. Recent algorithms extend network embedding ap…
Non-parametric clustering over user features and latent behavioral functions with dual-view mixture models
Alberto Lumbreras, Julien Velcin, Marie Guégan +1
We present a dual-view mixture model to cluster users based on their features and latent behavioral functions. Every component of the mixture model represents a probability density…
A Scalable Document-based Architecture for Text Analysis
Ciprian-Octavian Truică, Jérôme Darmont, Julien Velcin
Analyzing textual data is a very challenging task because of the huge volume of data generated daily. Fundamental issues in text analysis include the lack of structure in document…