Results 11 to 20 of about 3,057,310 (285)
Definition Extraction Method Based on BiLSTM Model [PDF]
Jisuanji gongcheng, 2020 Definition extraction is the task that automatically identifying definition sentences from unstructured text.The definition extraction problem can be modeled as the sequence labeling problem of a sentence term and its corresponding definition,in which ...
YANG Ping, XIE Zhipeng
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Sparsity-Driven Digital Terrain Model Extraction [PDF]
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018 Preprint. Paper published in IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, 2018, pp.
Nar, Fatih +2 more
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Landslide Trail Extraction Using Fire Extinguishing Model
Remote Sensing, 2022 Landslide trails are important elements of landslide inventory maps, providing valuable information for landslide risk and hazard assessment. Compared with traditional manual mapping, skeletonization methods offer a more cost-efficient way to map ...
Zhao Zhan +6 more
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Deep learning models for spatial relation extraction in text
Geo-spatial Information Science, 2023 Spatial relation extraction is the process of identifying geographic entities from text and determining their corresponding spatial relations. Traditional spatial relation extraction mainly uses rule-based pattern matching, supervised learning-based or ...
Kehan Wu +3 more
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Exploratory Modeling: Extracting Causality From Complexity [PDF]
Eos, Transactions American Geophysical Union, 2014 On 22 May 2011 a massive tornado tore through Joplin, Mo., killing 158 people. With winds blowing faster than 200 miles per hour, the tornado was the most deadly in the United States since modern record keeping began in the 1950s.
Coulthard, Tom +4 more
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Extracting Falsifiable Predictions from Sloppy Models [PDF]
Annals of the New York Academy of Sciences, 2007 Abstract: Successful predictions are among the most compelling validations of any model. Extracting falsifiable predictions from nonlinear multiparameter models is complicated by the fact that such models are commonlysloppy, possessing sensitivities to different parameter combinations that range over many decades. Here we discuss how sloppiness affects
Gutenkunst, Ryan N. +4 more
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Arabic ontology extraction model from unstructured text
Journal of King Saud University: Computer and Information Sciences, 2022 Ontologies enable the sharing and reusing of knowledge, allowing the interoperation and combination of information systems. Automatic ontological relation extraction from text is an important factor for representing documents and their contents in a ...
Yasser Mohamed Saber +2 more
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Big Data and Cognitive Computing, 2019 Evaluating and predicting the performance of big data applications are required to efficiently size capacities and manage operations. Gaining profound insights into the system architecture, dependencies of components, resource demands, and configurations
Johannes Kroß, Helmut Krcmar
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Lightweight source model extraction [PDF]
Proceedings of the 3rd ACM SIGSOFT symposium on Foundations of software engineering, 1995 Reverse engineers depend on the automatic extract ion of information from source code. Some useful kinds of information+ource models—are wellknown: call graphs, file dependence, etc. Predicting every kind of source model that a reverse engineer may need is impossible.
Gail C. Murphy, David Notkin
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Modeling musicological information as trigrams in a system for simultaneous chord and local key extraction [PDF]
, 2011 In this paper, we discuss the introduction of a trigram musicological model in a simultaneous chord and local key extraction system. By enlarging the context of the musicological model, we hoped to achieve a higher accuracy that could justify the ...
Leman, Marc +2 more
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