Pierre Colombo
Pierre Colombo
Ass. Prof @Univ ParisSacaly (MICS - CentraleSupelec)
Verified email at - Homepage
Cited by
Cited by
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
arXiv preprint arXiv:2211.05100, 2022
Affect-driven dialog generation
P Colombo*, W Witon*, A Modi, J Kennedy, M Kapadia
NAACL 2019, 2019
Guiding attention in sequence-to-sequence models for dialogue act prediction
P Colombo*, E Chapuis*, M Manica, E Vignon, G Varni, C Clavel
(𝐎𝐫𝐚𝐥) AAAI 2020, 2020
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations
P Colombo, C Clavel, P Piantanida
(𝐎𝐫𝐚𝐥) ACL 2021, 2021
Hierarchical pre-training for sequence labelling in spoken dialog
E Chapuis*, P Colombo*, M Manica, M Labeau, C Clavel
Finding of EMNLP 2020, 2020
Nl-augmenter: A framework for task-sensitive natural language augmentation
KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ...
arXiv preprint arXiv:2112.02721, 2021
The BigScience Corpus A 1.6 TB Composite Multilingual Dataset
H Laurençon, L Saulnier, T Wang, C Akiki, AV del Moral, T Le Scao, ...
(𝐎𝐫𝐚𝐥) NeurIPS 2022, 2022
Heavy-tailed representations, text polarity classification & data augmentation
H Jalalzai*, P Colombo*, C Clavel, É Gaussier, G Varni, E Vignon, ...
NeurIPS 2020, 2020
Automatic Text Evaluation through the Lens of Wasserstein Barycenters
P Colombo, G Staerman, C Clavel, P Piantanida
(𝐎𝐫𝐚𝐥) EMNLP 2021, 2021
The importance of fillers for text representations of speech transcripts
T Dinkar*, P Colombo*, M Labeau, C Clavel
EMNLP 2020, 2020
Disney at iest 2018: Predicting emotions using an ensemble
W Witon*, P Colombo*, A Modi, M Kapadia
Wassa @EMNP2018, 2018
From the token to the review: A hierarchical multimodal approach to opinion mining
A Garcia*, P Colombo*, S Essid, F d'Alché-Buc, C Clavel
EMNLP 2019, 2019
Code-switched inspired losses for spoken dialog representations
P Colombo, E Chapuis, M Labeau, C Clavel
EMNLP 2021, 2021
A Differential Entropy Estimator for Training Neural Networks
G Pichler, PJA Colombo, M Boudiaf, G Koliander, P Piantanida
(𝐎𝐫𝐚𝐥) ICML 2022, 2022
Improving Multimodal fusion via Mutual Dependency Maximisation
P Colombo, E Chapuis, M Labeau, C Clavel
(𝐎𝐫𝐚𝐥) EMNLP 2021, 2021
Learning Disentangled Textual Representations via Statistical Measures of Similarity
P Colombo, G Staerman, N Noiry, P Piantanida
(𝐎𝐫𝐚𝐥) ACL 2022, 2022
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation
P Colombo, C Clave, P Piantanida
(𝐁𝐞𝐬𝐭 𝐒𝐭𝐮𝐝𝐞𝐧𝐭 𝐏𝐚𝐩𝐞𝐫 𝐀𝐰𝐚𝐫𝐝) AAAI 2022, 2021
Learning to represent and generate text using information measures
P Colombo
(PhD thesis) Institut polytechnique de Paris, 2021
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation
C Chhun, P Colombo, C Clavel, FM Suchanek
(𝐎𝐫𝐚𝐥) COLING 2022, 2022
A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions
G Staerman, P Mozharovskyi, P Colombo, S Clémençon, F d'Alché-Buc
arXiv e-prints, arXiv: 2103.12711, 2021
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