| Do Convolutional Networks need to be Deep for Text Classification? HT Le, C Cerisara, A Denis AAAI-18 Workshop on Affective Content Analysis (Association for the …, 2017 | 131 | 2017 |
| Multi-task dialog act and sentiment recognition on Mastodon C Cerisara, S Jafaritazehjani, A Oluokun, HT Le COLING-18 (International Conference on Computational Linguistics), 2018 | 67 | 2018 |
| How much can Syntax help Sentence Compression? H Le, C Cerisara, C Gardent HAL Archives, 2019 | 2 | 2019 |
| RL extraction of syntax-based chunks for sentence compression HT Le, C Cerisara, C Gardent ICANN-19 (International Conference on Artificial Neural Networks), 2019 | 1 | 2019 |
| Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study T DeSilvio, JT Antunes, K Bera, P Chirra, H Le, D Liska, SL Stein, ... Frontiers in Medicine 10, 1149056, 2023 | | 2023 |
| Neural Methods for Sentiment Analysis and Text Summarization TH Le Université de Lorraine, 2020 | | 2020 |
| Quality of syntactic implication of RL-based sentence summarization H Le, C Cerisara, C Gardent AAAI-20 Workshop on Engineering Dependable and Secure Machine Learning Systems, 2020 | | 2020 |
Christophe CerisaraCNRS - LORIA UMR7503Vahvistettu sähköpostiosoite verkkotunnuksessa loria.fr
