Gliner: Generalist model for named entity recognition using bidirectional transformer

U Zaratiana, N Tomeh, P Holat, T Charnois - arXiv preprint arXiv …, 2023 - arxiv.org
Named Entity Recognition (NER) is essential in various Natural Language Processing (NLP)
applications. Traditional NER models are effective but limited to a set of predefined entity …

Lipn at wojoodner shared task: A span-based approach for flat and nested arabic named entity recognition

N El Elkhbir, U Zaratiana, N Tomeh… - … of ArabicNLP 2023, 2023 - aclanthology.org
Abstract The Wojood Named Entity Recognition (NER) shared task introduces a
comprehensive Arabic NER dataset encompassing both flat and nested entity tasks …

Filtered Semi-Markov CRF

U Zaratiana, N Tomeh, NE Khbir, P Holat… - arXiv preprint arXiv …, 2023 - arxiv.org
Semi-Markov CRF has been proposed as an alternative to the traditional Linear Chain CRF
for text segmentation tasks such as Named Entity Recognition (NER). Unlike CRF, which …

GraphER: A Structure-aware Text-to-Graph Model for Entity and Relation Extraction

U Zaratiana, N Tomeh, NE Khbir, P Holat… - arXiv preprint arXiv …, 2024 - arxiv.org
Information extraction (IE) is an important task in Natural Language Processing (NLP),
involving the extraction of named entities and their relationships from unstructured text. In …

Cross-Dialectal Named Entity Recognition in Arabic

N El Elkhbir, U Zaratiana, N Tomeh… - … of ArabicNLP 2023, 2023 - aclanthology.org
In this paper, we study the transferability of Named Entity Recognition (NER) models
between Arabic dialects. This question is important because the available manually …

Sélection globale de segments pour la reconnaissance d'entités nommées

U Zaratiana, N El Khbir, P Holat, N Tomeh… - 18e Conférence en …, 2023 - hal.science
La reconnaissance d'entités nommées est une tâche importante en traitement automatique
du langage naturel avec des applications dans de nombreux domaines. Dans cet article …