3 citations · 4 across the 2 of their papers we have counts for
3 papers
stat.ML2020
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
Hamid Jalalzai, Pierre Colombo, Chloé Clavel +4
The dominant approaches to text representation in natural language rely on learning embeddings on massive corpora which have convenient properties such as compositionality and dist…
cs.LG2020★ 1 cited
Supervised Categorical Metric Learning with Schatten p-Norms
Xuhui Fan, Eric Gaussier
Metric learning has been successful in learning new metrics adapted to numerical datasets. However, its development on categorical data still needs further exploration. In this pap…
cs.CL2019★ 3 cited
Terminology-based Text Embedding for Computing Document Similarities on Technical Content
Hamid Mirisaee, Eric Gaussier, Cedric Lagnier +1
We propose in this paper a new, hybrid document embedding approach in order to address the problem of document similarities with respect to the technical content. To do so, we empl…