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Adrian-Gabriel CHIFU
Adrian-Gabriel CHIFU
Ph.D., Associate Professor at Aix-Marseille Université
Adresse e-mail validée de lis-lab.fr - Page d'accueil
Titre
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Année
Word sense discrimination in information retrieval: A spectral clustering-based approach
AG Chifu, F Hristea, J Mothe, M Popescu
Information Processing & Management 51 (2), 16-31, 2015
372015
Query performance prediction focused on summarized letor features
AG Chifu, L Laporte, J Mothe, MZ Ullah
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
192018
Word sense disambiguation to improve precision for ambiguous queries
AG Chifu, RT Ionescu
Central European Journal of Computer Science 2 (4), 398-411, 2012
182012
Predicting contradiction intensity: Low, strong or very strong?
I Badache, S Fournier, AG Chifu
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
82018
DeShaTo: describing the shape of cumulative topic distributions to rank retrieval systems without relevance judgments
RT Ionescu, AG Chifu, J Mothe
International Symposium on String Processing and Information Retrieval, 75-82, 2015
82015
SegChain: Towards a generic automatic video segmentation framework, based on lexical chains of audio transcriptions
AG CHIFU, S FOURNIER
WIMS'16, 2016
62016
The R2I_LIS Team Proposes Majority Vote for VarDial’s MRC Task
AG Chifu
Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties …, 2019
52019
Harnessing Ratings and Aspect-Sentiment to Estimate Contradiction Intensity in Temporal-Related Reviews
I Badache, S Fournier, AG Chifu
Procedia computer science 112, 1711-1720, 2017
52017
Expansion sélective de requêtes par apprentissage
A Chifu, J Mothe
CORIA 2014, 2014
52014
Prédire la difficulté des requêtes: la combinaison de mesures statistiques et sémantiques
AG Chifu
Conférence francophone en Recherche d'Information et Applications-CORIA 2013 …, 2013
52013
Predicting query difficulty in IR: impact of difficulty definition
J Mothe, L Laporte, AG Chifu
2019 11th International Conference on Knowledge and Systems Engineering (KSE …, 2019
42019
Contradiction in Reviews: is it Strong or Low?
I Badache, S Fournier, AG Chifu
40th European Conference on Information Retrieval, ECIR 2018-BroDyn …, 2018
42018
Segchainw2v: Towards a generic automatic video segmentation framework, based on lexical chains of audio transcriptions and word embeddings
AG Chifu, S Fournier
Procedia Computer Science 96, 1371-1380, 2016
42016
Finding and quantifying temporal-aware contradiction in reviews
I Badache, S Fournier, AG Chifu
Asia Information Retrieval Symposium, 167-180, 2017
32017
Statistical analysis to establish the importance of information retrieval parameters
J Ayter, A Chifu, S Déjean, C Desclaux, J Mothe
Journal of Universal Computer Science 21 (13), pp. 1767-1789, 2015
32015
Fresada: A french satire data set for cross-domain satire detection
RT Ionescu, AG Chifu
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
22021
Human-based query difficulty prediction
AG Chifu, S Déjean, S Mizzaro, J Mothe
European Conference on Information Retrieval, 343-356, 2017
22017
Unsupervised and Supervised Methods to Estimate Temporal-Aware Contradictions in Online Course Reviews
I Badache, AG Chifu, S Fournier
Mathematics 10 (5), 809, 2022
12022
Feature selection for spectral clustering: to help or not to help spectral clustering when performing sense discrimination for IR?
AG Chifu, F Hristea
Open Computer Science 8 (1), 218-227, 2018
12018
Challenges to knowledge organization in the era of social media. The case of social controversies
N Andrianasolo, AG Chifu, S Fournier, F Ibekwe-Sanjuan
15th INTERNATIONAL ISKO CONFERENCE 16, 754-761, 2018
12018
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