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Julien Romero
Julien Romero
Associate Professor, Telecom SudParis
在 telecom-sudparis.eu 的电子邮件经过验证 - 首页
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Commonsense properties from query logs and question answering forums
J Romero, S Razniewski, K Pal, J Z. Pan, A Sakhadeo, G Weikum
Proceedings of the 28th ACM International Conference on Information and …, 2019
772019
Refined commonsense knowledge from large-scale web contents
TP Nguyen, S Razniewski, J Romero, G Weikum
IEEE Transactions on Knowledge and Data Engineering 35 (8), 8431-8447, 2022
282022
Inside quasimodo: Exploring construction and usage of commonsense knowledge
J Romero, S Razniewski
Proceedings of the 29th ACM International Conference on Information …, 2020
212020
Equivalent rewritings on path views with binding patterns
J Romero, N Preda, A Amarilli, F Suchanek
The Semantic Web: 17th International Conference, ESWC 2020, Heraklion, Crete …, 2020
92020
Pyformlang: an educational library for formal language manipulation
J Romero
Proceedings of the 52nd ACM Technical Symposium on Computer Science …, 2021
82021
Query rewriting on path views without integrity constraints
J Romero, N Preda, F Suchanek
From Data to Models and Back: 9th International Symposium, DataMod 2020 …, 2021
32021
Abstractive Text Summarisation with Neural Networks
J Romero
22017
Mapping and cleaning open commonsense knowledge bases with generative translation
J Romero, S Razniewski
International Semantic Web Conference, 368-387, 2023
12023
Tackling Cold Start for Job Recommendation with Heterogeneous Graphs
E Behar, J Romero, A Bouzeghoub, K Wegrzyn-Wolska
RecSys In HR'23, 2023
12023
Do children texts hold the key to commonsense knowledge?
J Romero, S Razniewski
arXiv preprint arXiv:2210.04530, 2022
12022
Computing and illustrating query rewritings on path views with binding patterns
J Romero, N Preda, A Amarilli, F Suchanek
Proceedings of the 29th ACM International Conference on Information …, 2020
12020
Harvesting commonsense and hidden knowledge from web services
J Romero
Institut Polytechnique de Paris, 2020
2020
Evaluating and Finetuning Models For Financial Time Series Forecasting
T Djaaleb, J Romero
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