| 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 | 26 | 2015 |
| Word sense disambiguation to improve precision for ambiguous queries AG Chifu, RT Ionescu Central European Journal of Computer Science 2 (4), 398-411, 2012 | 17 | 2012 |
| 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 | 9 | 2018 |
| 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 | 8 | 2015 |
| 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 | 5 | 2019 |
| Expansion sélective de requêtes par apprentissage A Chifu, J Mothe CORIA 2014, 2014 | 5 | 2014 |
| 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 | 5 | 2013 |
| 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 | 4 | 2018 |
| 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 | 4 | 2017 |
| SegChain: Towards a generic automatic video segmentation framework, based on lexical chains of audio transcriptions AG CHIFU, S FOURNIER WIMS'16, 2016 | 4 | 2016 |
| 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 | 4 | 2016 |
| 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 | 3 | 2019 |
| Contradiction in Reviews: is it Strong or Low? I Badache, S Fournier, AG Chifu 40th European Conference on Information Retrieval, ECIR 2018-BroDyn …, 2018 | 3 | 2018 |
| Finding and quantifying temporal-aware contradiction in reviews I Badache, S Fournier, AG Chifu Asia Information Retrieval Symposium, 167-180, 2017 | 3 | 2017 |
| Human-based query difficulty prediction AG Chifu, S Déjean, S Mizzaro, J Mothe European Conference on Information Retrieval, 343-356, 2017 | 2 | 2017 |
| 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 | 2 | 2015 |
| 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 | 1 | 2018 |
| Performance Analysis of Information Retrieval Systems J Ayter, C Desclaux, A Chifu, J Mothe, S Déjean Spanish Conference on Information Retrieval, 2014 | 1 | 2014 |
| Fair Exposure of Documents in Information Retrieval: a Community Detection Approach AG Chifu, J Mothe, Z Ullah Circle 2020 2621, 2020 | | 2020 |
| DeepNLPF: A Framework for Integrating Third Party NLP Tools F Rodrigues, R Lima, W Domingues, R Fidalgo, A Chifu, B Espinasse, ... Proceedings of The 12th Language Resources and Evaluation Conference, 7244-7251, 2020 | | 2020 |
Josiane MotheUniversité de Toulouse, Institut de Recherche en Informatique de ToulouseVerified email at univ-tlse2.fr
