[HTML][HTML] Context-Aware Embedding Techniques for Addressing Meaning Conflation Deficiency in Morphologically Rich Languages Word Embedding: A Systematic …

MA Masethe, HD Masethe, SO Ojo - Computers, 2024 - mdpi.com
This systematic literature review aims to evaluate and synthesize the effectiveness of various
embedding techniques—word embeddings, contextual word embeddings, and context …

Anec: An amharic named entity corpus and transformer based recognizer

EC Jibril, AC Tantuğ - IEEE Access, 2023 - ieeexplore.ieee.org
Named Entity Recognition is an information extraction task that serves as a pre-processing
step for other natural language processing tasks, such as machine translation, information …

BERT for Arabic NLP Applications: Pretraining and Finetuning MSA and Arabic Dialects

C Azroumahli, Y Elyounoussi, H Badir - … of Innovation and New Trends in …, 2022 - Springer
In recent practices, the BERT model that utilizes contextual word Embedding with transfer
learning has arisen as a popular state-of-the-art deep learning model. It improved the …

Towards an Open Domain Arabic Question Answering System: Assessment of the Bert Approach

C Azroumahli, Y El Younoussi, H Badir - International Conference on …, 2023 - Springer
Recently, deep learning-based contextualized word representations have made substantial
advancements in enhancing the efficiency of various natural language processing (NLP) …

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C Azroumahli¹, Y El Younoussi, H Badir… - Advances in Model …, 2024 - books.google.com
Recently, deep learning-based contextualized word representations have made substantial
advancements in enhancing the efficiency of various natural language processing (NLP) …

Clinical Data Analysis For Recognizing Named Entities

C Rahul, M Meleet, GN Srinivasan… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Ever since the introduction of the internet the amount of digital media and documents
available easily has grown rapidly. Even though the digital data may be any language and …