Automatic text summarization for government news reports based on multiple features
Y Yang, Y Tan, J Min, Z Huang - The Journal of Supercomputing, 2024 - Springer
The purpose of government news summarization is to extract the most important information
from official government news reports. It is important for readers to be able to understand …
from official government news reports. It is important for readers to be able to understand …
[PDF][PDF] Unsupervised Graph-Based Tibetan Multi-Document Summarization.
X Yan, Y Wang, W Song, X Zhao, A Run… - … , Materials & Continua, 2022 - researchgate.net
Text summarization creates subset that represents the most important or relevant information
in the original content, which effectively reduce information redundancy. Recently neural …
in the original content, which effectively reduce information redundancy. Recently neural …
Systematic Literature Review of Text Feature Extraction
Text data has essential information in it depending on a party who can process the data.
Text feature extraction techniques have opened various ways to carry out the analysis …
Text feature extraction techniques have opened various ways to carry out the analysis …
A Hybrid Automatic Text Summarization Model for Judgment Documents
Judgment documents are the final carrier of judicial trial activities, and they are an
indispensable component for assisting sentencing decision-making and standardizing the …
indispensable component for assisting sentencing decision-making and standardizing the …
[PDF][PDF] A Hybrid Automatic Text summarization Model for Judgment Documents
T Liu - researchgate.net
Judgment documents are the final carrier of judicial trial activities, and they are an
indispensable component for assisting sentencing decision-making and standardizing the …
indispensable component for assisting sentencing decision-making and standardizing the …