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2020 – today
- 2023
[b1]Mira Ait Saada:
Unsupervised learning from textual data with neural text representations. (Apprentissage non-supervisé sur des données textuelles à partir de représentations neuronales de texte). Paris Cité University, France, 2023- [c8]Mira Ait Saada, Mohamed Nadif:
Is Anisotropy Truly Harmful? A Case Study on Text Clustering. ACL (2) 2023: 1194-1203 - [c7]Mira Ait Saada, Mohamed Nadif:
Unsupervised Anomaly Detection in Multi-Topic Short-Text Corpora. EACL 2023: 1384-1395 - [c6]Mira Ait Saada, Mohamed Nadif:
Etude approfondie des représentations de données textuelles dans l'apprentissage non supervisé. EGC 2023: 361-368 - [c5]Mira Ait Saada, Mohamed Nadif:
Contextual Word Embeddings Clustering Through Multiway Analysis: A Comparative Study. IDA 2023: 1-14 - 2022
- [c4]Mira Ait Saada, François Role, Mohamed Nadif:
Classification non supervisée de documents à partir des modèles Transformeurs. EGC 2022: 331-338 - [c3]Rafika Boutalbi, Mira Ait Saada, Anastasiia Iurshina, Steffen Staab, Mohamed Nadif:
Tensor-based Graph Modularity for Text Data Clustering. SIGIR 2022: 2227-2231 - 2021
- [c2]Mira Ait Saada, François Role, Mohamed Nadif:
How to Leverage a Multi-layered Transformer Language Model for Text Clustering: an Ensemble Approach. CIKM 2021: 2837-2841 - [c1]Mira Ait Saada, François Role, Mohamed Nadif:
Unsupervised Methods for the Study of Transformer Embeddings. IDA 2021: 287-300
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