An efficient approach for detecting anomalous events in real‐time weather datasets

S Arora, R Rani, N Saxena - Concurrency and Computation …, 2022 - Wiley Online Library
Event detection in real‐time is applied in diverse domains such as detection of fraudulent
activities in commercial transactions, detection of faulty systems in industries, and so forth …

PyTorch-IE: Fast and Reproducible Prototyping for Information Extraction

A Binder, L Hennig, C Alt - arXiv preprint arXiv:2406.00007, 2024 - arxiv.org
The objective of Information Extraction (IE) is to derive structured representations from
unstructured or semi-structured documents. However, developing IE models is complex due …

Knowledge graph population from news streams

D Fernández Cañellas - 2023 - upcommons.upc.edu
(English) Media producers publish large amounts of multimedia content online-both text,
audio, image and video. As the online media market grows, the management and delivery of …

Semantische Technologien für Enterprise Intelligence am Beispiel von Lieferkettenbeobachtung

L Hennig, H Uszkoreit - Semantische Datenintelligenz im Einsatz, 2021 - Springer
Enterprise Intelligence, dh die Überwachung und Interpretation aller Signale der
verschiedenen Akteure eines Marktes, wird in einer globalen Wirtschaft mit ihren weltweit …

[PDF][PDF] Progress in Deep Learning Mechanisms for Information Extraction from Social Networks: An Expository Overview

I Fianyi, GA Appiah - International Journal of Computer Applications - academia.edu
Deep learning algorithms have shown to be robust in extracting high quality information from
a wide range of online platforms. Incidentally, social networks and other related online …

[引用][C] Progress in Deep Learning Mechanisms for Information Extraction from Social Networks: An Expository Overview

GA Appiah, I Fianyi - International Journal of Computer Applications