Results 41 to 50 of about 156,586 (309)

Multi-view and Multi-scale Fusion Attention Network for Document Image Forgery Localization [PDF]

Jisuanji kexue
With the improvement and application of various digital platforms,document images have been widely spread on the Internet.At the same time,the development of image processing technology has increased the risk of document image tampering,making it crucial
MENG Sijiang, WANG Hongxia, ZENG Qiang, ZHOU Yang
doaj   +1 more source

Abstractive and Extractive Approaches for Summarizing Multi-document Travel Reviews

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023
Travel reviews offer insights into users' experiences at places they have visited, including hotels, restaurants, and tourist attractions. Reviews are a type of multidocument, where one place has several reviews from different users.
Narandha Arya Ranggianto, Diana Purwitasari, Chastine Fatichah, Rizka Wakhidatus Sholikah   +3 more
doaj   +1 more source

Domain-Specific Multi-Document Political News Summarization Using BART and ACT-GAN

IEEE Access
The exponential growth of digital content has made it increasingly difficult for users to understand the information, particularly in domains like political news.
Zekai Nie, Masooma Arshad, Syed Khaldoon Khurshid, Abqa Javed, Talha Waheed, Qianqian Zhang, Muhammad Farrukh Shahzad   +6 more
doaj   +1 more source

MultiCGCN: Multi-Label Text Classification using GCNs and Heterogeneous Graphs [PDF]

International Journal of Web Research
Multi-label text classification is a critical challenge in natural language processing, where the goal is to assign multiple labels to a given document.
Milad Allahgholi, Hossein Rahmani, Parinaz Soltanzadeh, Aylin Naebzadeh   +3 more
doaj   +1 more source

Can Anaphora Resolution Improve Extractive Query-Focused Multi-Document Summarization?

IEEE Access, 2023
Query-Focused Multi-Document Summarization (QF-MDS) is the task of automatically generating a summary from a collection of documents that answers a specific user’s query.
Salima Lamsiyah, Abdelkader El Mahdaouy, Christoph Schommer   +2 more
doaj   +1 more source

Solving Multi-Document Summarization as an Orienteering Problem

Algorithms, 2018
With advances in information technology, people face the problem of dealing with tremendous amounts of information and need ways to save time and effort by summarizing the most important and relevant information.
Asma Al-Saleh, Mohamed El Bachir Menai
doaj   +1 more source

Keyphrase Based Evaluation of Automatic Text Summarization [PDF]

, 2015
The development of methods to deal with the informative contents of the text units in the matching process is a major challenge in automatic summary evaluation systems that use fixed n-gram matching.
El-Shishtawy, Tarek, Elghannam, Fatma
core   +1 more source

Multi-Class Document Classification Using Lexical Ontology-Based Deep Learning

Applied Sciences, 2023
With the recent growth of the Internet, the volume of data has also increased. In particular, the increase in the amount of unstructured data makes it difficult to manage data. Classification is also needed in order to be able to use the data for various
Ilkay Yelmen, Ali Gunes, Metin Zontul
doaj   +1 more source

Graph-based Neural Multi-Document Summarization

, 2017
We propose a neural multi-document summarization (MDS) system that incorporates sentence relation graphs. We employ a Graph Convolutional Network (GCN) on the relation graphs, with sentence embeddings obtained from Recurrent Neural Networks as input node
Meelu, Kshitijh, Pareek, Ayush, Radev, Dragomir, Srinivasan, Krishnan, Yasunaga, Michihiro, Zhang, Rui   +5 more
core   +1 more source

Extractive Multi Document Summarization using Dynamical Measurements of Complex Networks

, 2017
Due to the large amount of textual information available on Internet, it is of paramount relevance to use techniques that find relevant and concise content.
Amancio, Diego R., Tohalino, Jorge V.
core   +1 more source