131 citations · 194 across the 7 of their papers we have counts for
7 papers
A Decentralized Framework for Ethical Authorship Validation in Academic Publishing: Leveraging Self-Sovereign Identity and Blockchain Technology
Kamal Al-Sabahi, Yousuf Khamis Al Mabsali
Academic publishing, integral to knowledge dissemination and scientific advancement, increasingly faces threats from unethical practices such as unconsented authorship, gift author…
Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks
Kang Yang, Xinjun Mao, Shangwen Wang +7
Pre-trained code models rely heavily on high-quality pre-training data, particularly human-written reference comments that bridge code and natural language. However, these comments…
Multi-head Sequence Tagging Model for Grammatical Error Correction
Kamal Al-Sabahi, Kang Yang, Wangwang Liu +3
To solve the Grammatical Error Correction (GEC) problem , a mapping between a source sequence and a target one is needed, where the two differ only on few spans. For this reason, t…
Bidirectional Attentional Encoder-Decoder Model and Bidirectional Beam Search for Abstractive Summarization
Kamal Al-Sabahi, Zhang Zuping, Yang Kang
Sequence generative models with RNN variants, such as LSTM, GRU, show promising performance on abstractive document summarization. However, they still have some issues that limit t…
An Enhanced Latent Semantic Analysis Approach for Arabic Document Summarization
Kamal Al-Sabahi, Zuping Zhang, Jun Long +1
The fast-growing amount of information on the Internet makes the research in automatic document summarization very urgent. It is an effective solution for information overload. Man…
Latent Semantic Analysis Approach for Document Summarization Based on Word Embeddings
Kamal Al-Sabahi, Zhang Zuping, Yang Kang
Since the amount of information on the internet is growing rapidly, it is not easy for a user to find relevant information for his/her query. To tackle this issue, much attention h…
A Hierarchical Structured Self-Attentive Model for Extractive Document Summarization (HSSAS)
Kamal Al-Sabahi, Zhang Zuping, Mohammed Nadher
The recent advance in neural network architecture and training algorithms have shown the effectiveness of representation learning. The neural network-based models generate better r…