research
∙
08/31/2021
Aligning Hotel Embeddings using Domain Adaptation for Next-Item Recommendation
In online platforms it is often the case to have multiple brands under t...
share
research
∙
10/24/2019
Wasserstein distances for evaluating cross-lingual embeddings
Word embeddings are high dimensional vector representations of words tha...
research
∙
09/30/2019
Hotel2vec: Learning Attribute-Aware Hotel Embeddings with Self-Supervision
We propose a neural network architecture for learning vector representat...
research
∙
07/24/2017
CAp 2017 challenge: Twitter Named Entity Recognition
The paper describes the CAp 2017 challenge. The challenge concerns the p...
research
∙
05/03/2017
On the effectiveness of feature set augmentation using clusters of word embeddings
Word clusters have been empirically shown to offer important performance...
research
∙
01/23/2017
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification
We address the problem of multi-class classification in the case where t...
research
∙
06/09/2016
e-Commerce product classification: our participation at cDiscount 2015 challenge
This report describes our participation in the cDiscount 2015 challenge ...
research
∙
03/30/2015
LSHTC: A Benchmark for Large-Scale Text Classification
LSHTC is a series of challenges which aims to assess the performance of ...
research
∙
06/28/2013