47 citations · 115 across the 30 of their papers we have counts for
6 papers · 1 filter
New Datasets and a Benchmark of Document Network Embedding Methods for Scientific Expert Finding
Robin Brochier, Antoine Gourru, Adrien Guille +1
The scientific literature is growing faster than ever. Finding an expert in a particular scientific domain has never been as hard as today because of the increasing amount of publi…
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…
Peerus Review: a tool for scientific experts finding
Robin Brochier, Adrien Guille, Julien Velcin +2
We propose a tool for experts finding applied to academic data generated by the start-up DSRT in the context of its application Peerus. A user may submit the title, the abstract an…
Impact of the Query Set on the Evaluation of Expert Finding Systems
Robin Brochier, Adrien Guille, Benjamin Rothan +1
Expertise is a loosely defined concept that is hard to formalize. Much research has focused on designing efficient algorithms for expert finding in large databases in various appli…
Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering
Young-Min Kim, Julien Velcin, Stéphane Bonnevay +1
Evolutionary clustering aims at capturing the temporal evolution of clusters. This issue is particularly important in the context of social media data that are naturally temporally…
Opinion mining from twitter data using evolutionary multinomial mixture models
Md. Abul Hasnat, Julien Velcin, Stéphane Bonnevay +1
Image of an entity can be defined as a structured and dynamic representation which can be extracted from the opinions of a group of users or population. Automatic extraction of suc…