Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Guille, Adrien"'
Networks of documents connected by hyperlinks, such as Wikipedia, are ubiquitous. Hyperlinks are inserted by the authors to enrich the text and facilitate the navigation through the network. However, authors tend to insert only a fraction of the rele
Externí odkaz:
http://arxiv.org/abs/2205.14631
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 publications and because of the ever growing diversity of expertise fields.
Externí odkaz:
http://arxiv.org/abs/2004.03621
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 addition to the textual content, we leverage a matrix of pairwise similari
Externí odkaz:
http://arxiv.org/abs/2001.05727
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 approaches by incorporating the text content associated with the nodes i
Externí odkaz:
http://arxiv.org/abs/2001.03369
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 and content representations learned with embedding techniques. Howeve
Externí odkaz:
http://arxiv.org/abs/1912.03048
Most network embedding algorithms consist in measuring co-occurrences of nodes via random walks then learning the embeddings using Skip-Gram with Negative Sampling. While it has proven to be a relevant choice, there are alternatives, such as GloVe, w
Externí odkaz:
http://arxiv.org/abs/1902.11004
In this extended abstract, we present an algorithm that learns a similarity measure between documents from the network topology of a structured corpus. We leverage the Scaled Dot-Product Attention, a recently proposed attention mechanism, to design a
Externí odkaz:
http://arxiv.org/abs/1902.11054
Publikováno v:
BIRNDL 2018 (SIGIR 2018), Jul 2018, Ann Arbor, Michigan, USA, France
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 application domains. The evaluation of such recommender systems lies most o
Externí odkaz:
http://arxiv.org/abs/1806.10813
Publikováno v:
EGC 2018, Jan 2018, Paris, France
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 and optionnally the authors and the journal of publication of a scientif
Externí odkaz:
http://arxiv.org/abs/1807.03719
Autor:
Guille, Adrien
Les médias sociaux ont largement modifié la manière dont nous produisons, diffusons et consommons l'information et sont de fait devenus des vecteurs d'information importants. L’objectif de cette thèse est d’aider à la compréhension du phén
Externí odkaz:
http://www.theses.fr/2014LYO22015/document