Sara Meftah

According to our database1, Sara Meftah authored at least 10 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Article 
PhD thesis 
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Links

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Bibliography

2024
BEExAI: Benchmark to Evaluate Explainable AI.
Proceedings of the Explainable Artificial Intelligence, 2024

2021
Neural Transfer Learning for Domain Adaptation in Natural Language Processing. (Apprentissage par transfert neuronal pour l'adaptation aux domaines en traitement automatique de la langue).
PhD thesis, 2021

Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units.
CoRR, 2021

2020
Multi-Task Supervised Pretraining for Neural Domain Adaptation.
Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media, 2020

2019
Exploration de l'apprentissage par transfert pour l'analyse de textes des réseaux sociaux (Exploring neural transfer learning for social media text analysis ).
Proceedings of the Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume II : Articles courts, 2019

Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
Using Neural Transfer Learning for Morpho-syntactic Tagging of South-Slavic Languages Tweets.
Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects, 2018

A Neural Network Model for Part-Of-Speech Tagging of Social Media Texts.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2017
Supervised Transfer Learning for Sequence Tagging of User-Generated-Content in Social Media.
Proceedings of the Human Language Technology. Challenges for Computer Science and Linguistics, 2017

Data Collection and Analysis of Usages from Connected Objects: Some Lessons.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017


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