4 papers
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…