136 citations · 448 across the 41 of their papers we have counts for
6 papers · 1 filter
CAp 2017 challenge: Twitter Named Entity Recognition
Cédric Lopez, Ioannis Partalas, Georgios Balikas +5
The paper describes the CAp 2017 challenge. The challenge concerns the problem of Named Entity Recognition (NER) for tweets written in French. We first present the data preparation…
Multitask Learning for Fine-Grained Twitter Sentiment Analysis
Georgios Balikas, Simon Moura, Massih-Reza Amini
Traditional sentiment analysis approaches tackle problems like ternary (3-category) and fine-grained (5-category) classification by learning the tasks separately. We argue that suc…
An Asynchronous Distributed Framework for Large-scale Learning Based on Parameter Exchanges
Bikash Joshi, Franck Iutzeler, Massih-Reza Amini
In many distributed learning problems, the heterogeneous loading of computing machines may harm the overall performance of synchronous strategies. In this paper, we propose an effe…
On the effectiveness of feature set augmentation using clusters of word embeddings
Georgios Balikas, Ioannis Partalas
Word clusters have been empirically shown to offer important performance improvements on various tasks. Despite their importance, their incorporation in the standard pipeline of fe…
Representation Learning and Pairwise Ranking for Implicit Feedback in Recommendation Systems
Sumit Sidana, Mikhail Trofimov, Oleg Horodnitskii +3
In this paper, we propose a novel ranking framework for collaborative filtering with the overall aim of learning user preferences over items by minimizing a pairwise ranking loss.…
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification
Bikash Joshi, Massih-Reza Amini, Ioannis Partalas +2
We address the problem of multi-class classification in the case where the number of classes is very large. We propose a double sampling strategy on top of a multi-class to binary…