7 citations · 8 across the 7 of their papers we have counts for
7 papers
KurdSTS: The Kurdish Semantic Textual Similarity
Abdulhady Abas Abdullah, Hadi Veisi, Hussein M. Al
Semantic Textual Similarity (STS) measures the degree of meaning overlap between two texts and underpins many NLP tasks. While extensive resources exist for high-resource languages…
Evolution of meta's llama models and parameter-efficient fine-tuning of large language models: a survey
Abdulhady Abas Abdullah, Arkaitz Zubiaga, Seyedali Mirjalili +5
This review surveys the rapid evolution of Meta AI's LLaMA (Large Language Model Meta AI) series - from LLaMA 1 through LLaMA 4 and the specialized parameter-efficient fine-tuning…
KuBERT: Central Kurdish BERT Model and Its Application for Sentiment Analysis
Kozhin muhealddin Awlla, Hadi Veisi, Abdulhady Abas Abdullah
This paper enhances the study of sentiment analysis for the Central Kurdish language by integrating the Bidirectional Encoder Representations from Transformers (BERT) into Natural…
The Role of Orthographic Consistency in Multilingual Embedding Models for Text Classification in Arabic-Script Languages
Abdulhady Abas Abdullah, Amir H. Gandomi, Tarik A Rashid +4
In natural language processing, multilingual models like mBERT and XLM-RoBERTa promise broad coverage but often struggle with languages that share a script yet differ in orthograph…
State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition
Aref Farhadipour, Homayoon Beigi, Volker Dellwo +1
Whispered speech recognition presents significant challenges for conventional automatic speech recognition systems, particularly when combined with dialect variation. However, util…
NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages
Abdulhady Abas Abdullah, Srwa Hasan Abdulla, Dalia Mohammad Toufiq +8
Nowadays, Natural Language Processing (NLP) is an important tool for most people's daily life routines, ranging from understanding speech, translation, named entity recognition (NE…