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Amandine Decker
Amandine Decker
Loria, Université de Lorraine, CLASP, University of Gothenburg
Verified email at loria.fr
Title
Cited by
Cited by
Year
A Neural Approach for Detecting Morphological Analogies
S Alsaidi, A Decker, P Lay, E Marquer, PA Murena, M Couceiro
2021 IEEE 8th International Conference on Data Science and Advanced …, 2021
232021
On the transferability of neural models of morphological analogies
S Alsaidi, A Decker, P Lay, E Marquer, PA Murena, M Couceiro
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
102021
A Deep Learning Approach to Solving Morphological Analogies
E Marquer, S Alsaidi, A Decker, PA Murena, M Couceiro
Case-Based Reasoning Research and Development: 30th International Conference …, 2022
62022
Tackling Morphological Analogies Using Deep Learning--Extended Version
S Alsaidi, A Decker, E Marquer, PA Murena, M Couceiro
arXiv preprint arXiv:2111.05147, 2021
12021
With a Little Help from my (Linguistic) Friends: Topic Segmentation of Multi-party Casual Conversations
A Decker, M Amblard
arXiv preprint arXiv:2402.02837, 2024
2024
PENSE M'EN
HS Choi, M Cousin, A Decker, VD Richard
THINK BEFORE LOADING, 2024
2024
Analysing topic shifts in task-oriented dialogues
A Decker, M Amblard
Journées scientifiques du GDR Lift-LIFT 2023, 2023
2023
Topic and genre in dialogue
A Decker, E Breitholtz, C Howes, S Larsson
SEMDIAL 2023, 143-145, 2023
2023
Topic Shifts: Preserving Comprehension in Conversation
A Decker
Université de lorraine; IDMC, 2022
2022
A Neural Approach to Detecting and Solving Morphological Analogies across Languages
S Alsaidi, A Decker, P Lay, M Couceiro, E Marquer, M Amblard
2021
Understanding Morphological Analogies through a Semantic Approach
S Alsaidi, A Decker, P Lay, M Couceiro, E Marquer, M Amblard
2020
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