112 citations · 173 across the 8 of their papers we have counts for
5 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…
Document Network Embedding: Coping for Missing Content and Missing Links
Jean Dupuy, Adrien Guille, Julien Jacques
Searching through networks of documents is an important task. A promising path to improve the performance of information retrieval systems in this context is to leverage dense node…
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…