Sara Meftah
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View article: BEExAI: Benchmark to Evaluate Explainable AI
BEExAI: Benchmark to Evaluate Explainable AI Open
Recent research in explainability has given rise to numerous post-hoc attribution methods aimed at enhancing our comprehension of the outputs of black-box machine learning models. However, evaluating the quality of explanations lacks a coh…
View article: Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units
Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units Open
Neural Transfer Learning (TL) is becoming ubiquitous in Natural Language Processing (NLP), thanks to its high performance on many tasks, especially in low-resourced scenarios. Notably, TL is widely used for neural domain adaptation to tran…
View article: Neural Supervised Domain Adaptation by Augmenting Pre-trained Models\n with Random Units
Neural Supervised Domain Adaptation by Augmenting Pre-trained Models\n with Random Units Open
Neural Transfer Learning (TL) is becoming ubiquitous in Natural Language\nProcessing (NLP), thanks to its high performance on many tasks, especially in\nlow-resourced scenarios. Notably, TL is widely used for neural domain\nadaptation to t…
View article: On the Hidden Negative Transfer in Sequential Transfer Learning for Domain Adaptation from News to Tweets
On the Hidden Negative Transfer in Sequential Transfer Learning for Domain Adaptation from News to Tweets Open
Transfer Learning has been shown to be a powerful tool for Natural Language Processing (NLP) and has outperformed the standard supervised learning paradigm, as it takes benefit from the pre-learned knowledge. Nevertheless, when transfer is…
View article: Apprentissage par transfert neuronal pour l'adaptation aux domaines en traitement automatique de la langue
Apprentissage par transfert neuronal pour l'adaptation aux domaines en traitement automatique de la langue Open
Recent approaches based on end-to-end deep neural networks have revolutionised Natural Language Processing (NLP), achieving remarkable results in several tasks and languages. Nevertheless, these approaches are limited with their "gluttony"…
View article: Multi-Task Supervised Pretraining for Neural Domain Adaptation
Multi-Task Supervised Pretraining for Neural Domain Adaptation Open
International audience
View article: Joint learning of pre-trained and random units for domain adaptation in part-of-speech tyagging
Joint learning of pre-trained and random units for domain adaptation in part-of-speech tyagging Open
Sara Meftah, Youssef Tamaazousti, Nasredine Semmar, Hassane Essafi, Fatiha Sadat. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Lon…
View article: Joint Learning of Pre-Trained and Random Units for Domain Adaptation in\n Part-of-Speech Tagging
Joint Learning of Pre-Trained and Random Units for Domain Adaptation in\n Part-of-Speech Tagging Open
Fine-tuning neural networks is widely used to transfer valuable knowledge\nfrom high-resource to low-resource domains. In a standard fine-tuning scheme,\nsource and target problems are trained using the same architecture. Although\ncapable…
View article: Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging
Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging Open
Fine-tuning neural networks is widely used to transfer valuable knowledge from high-resource to low-resource domains. In a standard fine-tuning scheme, source and target problems are trained using the same architecture. Although capable of…
View article: Using Neural Transfer Learning for Morpho-syntactic Tagging of South-Slavic Languages Tweets
Using Neural Transfer Learning for Morpho-syntactic Tagging of South-Slavic Languages Tweets Open
In this paper, we describe a morpho-syntactic tagger of tweets, an important component of the CEA List DeepLIMA tool which is a multilingual text analysis platform based on deep learning. This tagger is built for the Morpho-syntactic Taggi…
View article: A Neural Network Model for Part-Of-Speech Tagging of Social Media Texts
A Neural Network Model for Part-Of-Speech Tagging of Social Media Texts Open
International audience