Results 71 to 80 of about 1,518,254 (312)

Computer Vision-Based Framework for Data Extraction From Heterogeneous Financial Tables: A Comprehensive Approach to Unlocking Financial Insights

IEEE Access
Information extraction from financial document images is crucial in computer vision and NLP, as financial data often exists in image or PDF format, enabling organizations to analyze and make informed business decisions using OCR advancements.
Iftakhar Ali Khandokar, Priya Deshpande
doaj   +1 more source

HU‐PageScan: a fully convolutional neural network for document page crop

IET Image Processing, 2020
November The offer of online, automated, and impersonal services demand users to upload scanned copies of their documents to the organisations. As a consequence of this decentralisation, the documents present more challenges to the already complex ...
Ricardo Batista dasNeves Junior, Estanislau Lima, Byron L.D. Bezerra, Cleber Zanchettin, Alejandro H. Toselli   +4 more
doaj   +1 more source

Event Geoparser with Pseudo-Location Entity Identification and Numerical Argument Extraction Implementation and Evaluation in Indonesian News Domain

ISPRS International Journal of Geo-Information, 2020
Geoparser is a fundamental component of a Geographic Information Retrieval (GIR) geoparser, which performs toponym recognition, disambiguation, and geographic coordinate resolution from unstructured text domain. However, geoparsing of news articles which
Agung Dewandaru, Dwi Hendratmo Widyantoro, Saiful Akbar   +2 more
doaj   +1 more source

A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho, Karim M. Soliman, Wisit Cheungpasitporn, Wannasit Wathanavasin, Ahmed Daoud, Ahmed I. Kamal, Balázs Szamosfalvi, Tibor Fülöp   +7 more
wiley   +1 more source

What Are the Public’s Concerns About ChatGPT? A Novel Self-Supervised Neural Topic Model Tells You

Mathematics
The recently released ChatGPT, an artificial intelligence conversational agent, has garnered significant attention in academia and real life. A multitude of early ChatGPT users have eagerly explored its capabilities and shared their opinions on social ...
Rui Wang, Xing Liu, Peng Ren, Shuyu Chang, Zhengxin Huang, Haiping Huang, Guozi Sun   +6 more
doaj   +1 more source

Automatic Ontology-Based Knowledge Extraction from Web Documents [PDF]

, 2003
To bring the Semantic Web to life and provide advanced knowledge services, we need efficient ways to access and extract knowledge from Web documents. Although Web page annotations could facilitate such knowledge gathering, annotations are rare and will ...
Hall, Wendy, Shadbolt, Nigel R., Alani, Harith, Weal, Mark J., Kim, Sanghee, Lewis, Paul H., Millard, David E.   +6 more
core   +1 more source

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye, Chimezie Okwuonu, Evelyn Idam, Folasade Adelekan‐Popoola, Shakirat Gold‐Olufadi, Olufunto Olufela Kalejaiye, Abdullateef Ogala, Zinnah Aloziem, Blossom Amamchukwu, Patience Elimia, Mkpoikanabasi Obot‐Obot, Henry Mbakwe, Praises Maduagwuna, Olatunji Akinrodoye, Chiamaka Anyanwu, Benjamin Anyanwu, Adedamola Akinsiku, Oluwatoyin A. Akinsiku, Muzamil O. Hassan, Fatiu A. Arogundade, Olalekan E. Ojo, Homayemem Weli, Jesupelumi Adenihun, Aderemi Adelaja, Ebun Bamgboye, Olalekan Olatise, Ade E. Faponle, Ayoola Odeyemi, Michael Muoka, Stephen Asaolu, Qudrat Busari, Blessing Dawudu, Michael Naiyeju, Rasheed A. Balogun   +33 more
wiley   +1 more source

BlogForever D2.6: Data Extraction Methodology [PDF]

, 2013
This report outlines an inquiry into the area of web data extraction, conducted within the context of blog preservation. The report reviews theoretical advances and practical developments for implementing data extraction.
Stepanyan, K., Davis, R., Banos, V., Gkotsis, G., Pincent, E.   +4 more
core   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Information Extraction Framework

, 2012
The literature provides many techniques to infer rules that can be used to configure web information extractors. Unfortunately, these techniques have been developed independently, which makes it very difficult to compare the results: there is not even a collection of datasets on which these techniques can be assessed. Furthermore, there is not a common
Hassan A. Sleiman, Rafael Corchuelo
openaire   +3 more sources