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Causality Mining in Natural Languages Using Machine and Deep Learning Techniques: A Survey
The era of big textual corpora and machine learning technologies have paved the way for researchers in numerous data mining fields. Among them, causality mining (CM) from textual data has become a significant area of concern and has more attention from ...
Rahman Ali, Wanli Zuo
exaly +3 more sources
Toward a Multi-Column Knowledge-Oriented Neural Network for Web Corpus Causality Mining
In the digital age, many sources of textual content are devoted to studying and expressing many sorts of relationships, including employer–employee, if–then, part–whole, product–producer, and cause–effect relations/causality.
Rahman Ali, Wanli Zuo
exaly +3 more sources
Causality extraction: A comprehensive survey and new perspective
Researchers in natural language processing are paying more attention to causality mining. Numerous applications of the growing need for efficient and accurate causality mining include question answering, future events predication, discourse comprehension,
Rahman Ali, Wanli Zuo, Inam Ullah
exaly +3 more sources
Land use changes are an important factor contributing to the increasingly severe deterioration of the ecological environment. Therefore, regional analyses of land use and ecological risk should be developed for the restoration of ecological functions. In
Renbo Luo, Qiu Tianqi, Xuanwei Chen
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An Attention-Based Deep Convolution Network for Mining Airport Delay Propagation Causality
The airport network is a highly dynamic and complex network connected by air routes, and it is difficult to study the impact of delays at one airport on another airport by means of human intervention.
Weili Zeng, Zeng Weili, Wang Huawei
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Cause-and-effect relationships in a nonlinear model of Bitcoin's energy use and price volatility effect. [PDF]
The environmental impact of Bitcoin (BTC) has been a source of concern due to its substantial energy consumption, which is a result of its proof-of-work mining algorithm and transaction processes.
Georgia Zournatzidou
doaj +2 more sources
Vehicle information on high-speed trains can not only determine whether the various parts of the train are working normally, but also predict the train’s future operating status. How to obtain valuable information from massive vehicle data is a difficult
Honghui Dong, Yong Qin, Jie Man
exaly +3 more sources
Coal mining as a risk factor for tuberculosis – Commodity or circumstance? [PDF]
The association of tuberculosis (TB) with the mining industry is well known in South Africa. This may well be true for gold mining and silica exposure.
Nevadna Singh, Elvis M. Irusen
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With the development of cloud computing technology, the microservice architecture (MSA) has become a prevailing application architecture in cloud-native applications.
Juan Qiu, Du Qingfeng
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Mining text for causality: a new perspective on food safety crisis management
The aim of the present study was to quantitatively analyze the importance of each risk factor in a food safety event, so as to fully elucidate the correlation between different risk factors and provide a reference for food safety governance.
Jiayin Pei
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