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 …

[PDF][PDF] Identifying Terms to Represent Concepts of a Work Process Ontology

MA Osman, SAM Noah, S Saad - Indian Journal …, 2024 - sciresol.s3.us-east-2.amazonaws …
Objectives: To identify ontology concepts from text documents for the construction of work
process ontology. Methods: This study proposes a methodology to identify terms …

Systematic Literature Review of Text Feature Extraction

A Mulyanto, S Hartati, R Wardoyo - 2022 Seventh International …, 2022 - ieeexplore.ieee.org
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 …

[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 …

A Hybrid Automatic Text Summarization Model for Judgment Documents

J Ouyang, W Huang, T Liu - International Conference on Artificial …, 2022 - Springer
Judgment documents are the final carrier of judicial trial activities, and they are an
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 …