A comprehensive survey for automatic text summarization: techniques, approaches and perspectives

M Luo, B Xue, B Niu - Neurocomputing, 2024 - Elsevier
The enormous quantity of text makes it challenging for users to obtain the key information
and knowledge. Automatic text summarization can alleviate this problem by providing …

Uncovering the heterogeneous effects of depression on suicide risk conditioned by linguistic features: A double machine learning approach

S Li, W Pan, PSF Yip, J Wang, W Zhou, T Zhu - Computers in Human …, 2024 - Elsevier
Depression has been identified as a risk factor for suicide, yet limited evidence has
elucidated the underlying pathways linking depression to subsequent suicide risk …

End-to-end entity extraction from OCRed texts using summarization models

PA Villa-García, R Alonso-Calvo… - Neural Computing and …, 2024 - Springer
A novel methodology is introduced for extracting entities from noisy scanned documents by
using end-to-end data and reformulating the entity extraction task as a text summarization …

Toward Regulatory Compliance: A few-shot Learning Approach to Extract Processing Activities

KC Pragyan, R Ghandiparsi, R Slavin… - 2024 IEEE 32nd …, 2024 - ieeexplore.ieee.org
The widespread use of mobile applications has driven the growth of the industry, with
companies relying heavily on user data for services like targeted advertising and …

Toward Regulatory Compliance: A few-shot Learning Approach to Extract Processing Activities

P KC, R Ghandiparsi, R Slavin, S Ghanavati… - arXiv preprint arXiv …, 2024 - arxiv.org
The widespread use of mobile applications has driven the growth of the industry, with
companies relying heavily on user data for services like targeted advertising and …

[PDF][PDF] Combining Deep Learning and Heuristic Search for Efficient Text Summarization

D Beeram - International Research Journal of Engineering and …, 2024 - researchgate.net
This work is a research project aimed at studying how deep Learning based on advanced
DNN architectures can be integrated with heuristic search algorithms to make text …

Advanced multiple document summarization via iterative recursive transformer networks and multimodal transformer

S Ketineni, S Jayachandran - PeerJ Computer Science, 2024 - peerj.com
The proliferation of digital information necessitates advanced techniques for multiple
document summarization, capable of distilling vast textual data efficiently. Traditional …

Text Summarization using Textrank, Lexrank and Bart model

SM Jijo, D Panchal, J Ardeshana… - 2024 15th …, 2024 - ieeexplore.ieee.org
In natural language processing, text summarization is crucial for applications like information
retrieval, content generation, resource optimization, and legal and academic research. It …

State-of-art approach for Indian Language based on NER: Comprehensive Review

P Pandey, B Nathani - 2024 - researchsquare.com
Abstract Named Entity Recognition (NER) is a fundamental task of natural language
processing (NLP) that focuses on the identification and classification of named entities such …

Video Summarization Using Firefly Algorithm

S Pandey, S Dwivedi, VB Singh, N Verma… - … Conference on Artificial …, 2023 - Springer
In this research, Firefly algorithm to generate summary of a given video is proposed. The
Firefly Algorithm is an optimization algorithm that draws inspiration from the behaviour of …