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[HTML][HTML] A survey of information extraction based on deep learning
Y Yang, Z Wu, Y Yang, S Lian, F Guo, Z Wang - Applied Sciences, 2022 - mdpi.com
As a core task and an important link in the fields of natural language understanding and
information retrieval, information extraction (IE) can structure and semanticize unstructured …
information retrieval, information extraction (IE) can structure and semanticize unstructured …
An analytical study of information extraction from unstructured and multidimensional big data
Process of information extraction (IE) is used to extract useful information from unstructured
or semi-structured data. Big data arise new challenges for IE techniques with the rapid …
or semi-structured data. Big data arise new challenges for IE techniques with the rapid …
From natural language to simulations: applying AI to automate simulation modelling of logistics systems
I Jackson, M Jesus Saenz, D Ivanov - International Journal of …, 2024 - Taylor & Francis
Our research strives to examine how simulation models of logistics systems can be
produced automatically from verbal descriptions in natural language and how human …
produced automatically from verbal descriptions in natural language and how human …
[HTML][HTML] ESCALB: An effective slave controller allocation-based load balancing scheme for multi-domain SDN-enabled-IoT networks
J Ali, RH Jhaveri, M Alswailim, B Roh - Journal of King Saud University …, 2023 - Elsevier
In software-defined networking (SDN), several controllers improve the reliability as well as
the scalability of networks such as the Internet-of-Things (IoT), with the distributed control …
the scalability of networks such as the Internet-of-Things (IoT), with the distributed control …
CausalBench: A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models
Z Wang - Proceedings of the 10th SIGHAN Workshop on …, 2024 - aclanthology.org
Causal reasoning, a core aspect of human cognition, is essential for advancing large
language models (LLMs) towards artificial general intelligence (AGI) and reducing their …
language models (LLMs) towards artificial general intelligence (AGI) and reducing their …
Demystifying the role of natural language processing (NLP) in smart city applications: background, motivation, recent advances, and future research directions
Smart cities provide an efficient infrastructure for the enhancement of the quality of life of the
people by aiding in fast urbanization and resource management through sustainable and …
people by aiding in fast urbanization and resource management through sustainable and …
A review of secure federated learning: Privacy leakage threats, protection technologies, challenges and future directions
L Ge, H Li, X Wang, Z Wang - Neurocomputing, 2023 - Elsevier
Advances in the new generation of Internet of Things (IoT) technology are propelling the
growth of intelligent industrial applications worldwide. Simultaneously, widespread adoption …
growth of intelligent industrial applications worldwide. Simultaneously, widespread adoption …
What is event knowledge graph: A survey
Besides entity-centric knowledge, usually organized as Knowledge Graph (KG), events are
also an essential kind of knowledge in the world, which trigger the spring up of event-centric …
also an essential kind of knowledge in the world, which trigger the spring up of event-centric …
Causality extraction based on self-attentive BiLSTM-CRF with transferred embeddings
Causality extraction from natural language texts is a challenging open problem in artificial
intelligence. Existing methods utilize patterns, constraints, and machine learning techniques …
intelligence. Existing methods utilize patterns, constraints, and machine learning techniques …
A novel pipelined end-to-end relation extraction framework with entity mentions and contextual semantic representation
The mainstream method of end-to-end relation extraction is to jointly extract entities and
relations by sharing span representation, which, however, may cause feature conflict. The …
relations by sharing span representation, which, however, may cause feature conflict. The …