Christophe Rodrigues

@inproceedings{ortega_2654,

title = {REDIRE : Réduction Extrême de DImension pour le Résumé Extractif},

author = {Marius Ortega and Nédra Mellouli and Aurélien Bossard and Christophe Rodrigues},

url = {https://iutdijon.u-bourgogne.fr/egc2024/articles-acceptes/},

year  = {2024},

date = {2024-01-01},

booktitle = {24ème conférence francophone sur l'Extraction et la Gestion des Connaissances},

address = {Dijon, France},

abstract = {This paper presents an unsupervised automatic summarization model capable of extracting the most important sentences from a corpus. To extract sentences in a summary, we use

pre-entrained word embeddings to represent the documents. From this thick cloud of word vectors,

we apply an extreme dimension reduction to identify important words, which we group

by proximity. Sentences are extracted using linear optimization to maximize the information

present in the summary. We evaluate the approach on large documents and present very encouraging initial results.},

note = {22-26/01/2024},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{haikal_1767,

title = {Place Embedding across Cities in Location-based Social Networks},

author = {Christophe Haikal and Pegah Alizadeh and Christophe Rodrigues and Bi Chongke},

url = {https://www.sigapp.org/sac/sac2022/file2022/TOC-Jan-23-2022.pdf},

year  = {2022},

date = {2022-04-01},

booktitle = {ACM Symposium on Applied Computing},

address = {Brno, Czech Republic},

abstract = {In the urban computing field, analysing human mobility patterns are used to understand tourists and residents behaviours, or urban areas functionalities. Transferring the information from one city to another also assists urban strategists in comparing two cities

and applying their knowledge from one to another, such as plan- ning new touristic attractions or implementing some successful urban strategies in new cities. For this goal, in this work, we propose a twofold semi-supervised approach: we first propose a place embedding method based on users mobility trajectories in each city individually, second we learn a place translation function between two cities using the set of reviews written for each place. The translation function is based on measuring textual and semantic

similarities of the reviews. Extensive experiments on two french metropolitan areas (Lille and Bordeaux) based on the extracted data from Trip-Advisor demonstrate the effectiveness of our approach.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{belemkoabga_1586,

title = {Neural Network-Based Generation of Sport Summaries: a Preliminary Study},

author = {David Stéphane Belemkoabga and Aurélien Bossard and Abdallah Essa and Christophe Rodrigues and Kévin Sylla},

url = {https://ranlp.org/ranlp2021/proceedings.pdf},

year  = {2021},

date = {2021-07-01},

booktitle = {Proceedings of Recent Advances in Natural Language Processing},

pages = {152-159},

address = {Varna, Bulgaria},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{osmani_1543,

title = {Equational Model Guided by Real-time Sensor Data to Monitor Industrial Robots},

author = {Aomar Osmani and Pegah Alizadeh and Christophe Rodrigues},

url = {https://case2021.sciencesconf.org/},

year  = {2021},

date = {2021-06-01},

booktitle = {International Conference on Automation Science and Engineering},

address = {Lyon, France},

abstract = {The monitoring of industrial robots is often en-

sured by generic simulators which model the equational aspect

of the target machines. We propose an original approach to

complete the equational simulator of a milling machine using

the accumulated data from the used sensors. This approach cre-

ates a specific simulator for each machining situation by taking

the triplet (material, cutting tool, workpiece) into account. This

improvement brings great added value to the industrial experts

and improves the efficiency of industrial robots. It allows them

to better follow and interpret the behavior of machines during

the milling process. In addition to correct the simulator using

real data, our method detects also the anomalies during the

real manufacturing performance and fixes the minor bugs

along the observed real data during its continuous simulation

mimicry. The additional interest of our model remains the

precise definition of the complementary model between the real

system and the equational simulator. This makes it possible, by

using an inductive approach to search for regularities in the

model in order to better interpret the structural differences

between the model and the system and to better understand

the situations linked to their functionalities or undesirable

situations. The intensive experiments on real data validate our

model and open up many perspectives for future works.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nyzam_521,

title = {Un outil modulaire pour le résumé automatique},

author = {Valentin Nyzam and Christophe Rodrigues and Aurélien Bossard},

url = {https://project.inria.fr/coriataln2018/fr/},

year  = {2018},

date = {2018-05-01},

booktitle = {TALN 2018},

address = {Rennes, France},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{rodrigues_282,

title = {An Evolutionary Algorithm for Automatic Summarization},

author = {Christophe Rodrigues},

url = {https://www.aclweb.org/anthology/volumes/R17-1/},

year  = {2017},

date = {2017-09-01},

booktitle = {Proceedings of Recent Advances in Natural Language Processing},

pages = {111-120},

address = {Varna, Bulgaria},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}