Do Convolutional Networks need to be Deep for Text Classification ?

no code implementations • 13 Jul 2017 • 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.

General Classification Sentiment Analysis +2

Quality of syntactic implication of RL-based sentence summarization

no code implementations • 11 Dec 2019 • 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-of-speech (POS)-tags and dependency information.

POS Reinforcement Learning (RL) +2