72 citations · 72 across the 1 of their papers we have counts for
3 papers
Quality of syntactic implication of RL-based sentence summarization
Hoa T. Le, Christophe Cerisara, Claire Gardent
Work on summarization has explored both reinforcement learning (RL) optimization using ROUGE as a reward and syntax-aware models, such as models those input is enriched with part-o…
Multi-task dialog act and sentiment recognition on Mastodon
Christophe Cerisara, Somayeh Jafaritazehjani, Adedayo Oluokun +1
Because of license restrictions, it often becomes impossible to strictly reproduce most research results on Twitter data already a few months after the creation of the corpus. This…
Do Convolutional Networks need to be Deep for Text Classification ?
Hoa T. Le, Christophe Cerisara, Alexandre Denis
We study in this work the importance of depth in convolutional models for text classification, either when character or word inputs are considered. We show on 5 standard text class…