Block5GIntell: Blockchain for AI-enabled 5G networks
Nowadays, 5G network is considered to be one of the main pillars of various industries,
including the Internet of Things (IoT), smart cities, virtual reality, and many more. Unlike …
including the Internet of Things (IoT), smart cities, virtual reality, and many more. Unlike …
Topic-aware pointer-generator networks for summarizing spoken conversations
Due to the lack of publicly available resources, conversation summarization has received far
less attention than text summarization. As the purpose of conversations is to exchange …
less attention than text summarization. As the purpose of conversations is to exchange …
Machine intelligence techniques for next-generation context-aware wireless networks
The next generation wireless networks (ie 5G and beyond), which would be extremely
dynamic and complex due to the ultra-dense deployment of heterogeneous networks …
dynamic and complex due to the ultra-dense deployment of heterogeneous networks …
An abstractive text summarization technique using transformer model with self-attention mechanism
Creating a summarized version of a text document that still conveys precise meaning is an
incredibly complex endeavor in natural language processing (NLP). Abstract text …
incredibly complex endeavor in natural language processing (NLP). Abstract text …
Abstractive multi-document summarization based on semantic link network
The key to realize advanced document summarization is semantic representation of
documents. This paper investigates the role of Semantic Link Network in representing and …
documents. This paper investigates the role of Semantic Link Network in representing and …
Sentic computing for aspect-based opinion summarization using multi-head attention with feature pooled pointer generator network
A Kumar, S Seth, S Gupta, S Maini - Cognitive Computation, 2022 - Springer
Neural sequence to sequence models have achieved superlative performance in
summarizing text. But they tend to generate generic summaries that under-represent the …
summarizing text. But they tend to generate generic summaries that under-represent the …
Exploiting discourse-level segmentation for extractive summarization
Extractive summarization selects and concatenates the most essential text spans in a
document. Most, if not all, neural approaches use sentences as the elementary unit to select …
document. Most, if not all, neural approaches use sentences as the elementary unit to select …
Conditional neural generation using sub-aspect functions for extractive news summarization
Much progress has been made in text summarization, fueled by neural architectures using
large-scale training corpora. However, in the news domain, neural models easily overfit by …
large-scale training corpora. However, in the news domain, neural models easily overfit by …
Survey of scientific document summarization methods
The number of research papers published each year is growing at an exponential rate,
which has led to intensive research in scientific document summarization. The different …
which has led to intensive research in scientific document summarization. The different …
Research of the efficiency of scientific and technical results in the field of chemical safety based on big data analysis
SV Pronichkin, IB Mamai - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
The search and extraction of targeted information about promising and breakthrough
technologies for ensuring chemical safety is an important element in the analysis of large …
technologies for ensuring chemical safety is an important element in the analysis of large …