Results 51 to 60 of about 1,334,418 (139)
, 2002 In this paper we present a new approach to extract relevant information by knowledge graphs from natural language text. We give a multiple level model based on knowledge graphs for describing template information, and investigate the concept of partial structural parsing.
Zhang, Lei, Hoede, C.
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Entity Extraction of Key Elements in 110 Police Reports Based on Large Language Models
Applied SciencesWith the rapid advancement of Internet technology and the increasing volume of police reports, relying solely on extensive human labor and traditional natural language processing methods for key element extraction has become impractical.
Xintao Xing, Peng Chen
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GEOSatDB: global civil earth observation satellite semantic database
Big Earth DataSatellite remote sensing, characterized by extensive coverage, frequent revisits, and continuous monitoring, provides essential data support for addressing global challenges.
Ming Lin, Meng Jin, Juanzi Li, Yuqi Bai
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Plant leaf classification using GIST texture features
IET Computer Vision, 2019 The leaves of plants have rich information in recognition of plants. In general, agriculture experts accomplish information extraction from the leaves.
Fateme Mostajer Kheirkhah +1 more
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Effective Signal Extraction Algorithm for Cerebral Blood Oxygen Based on Dual Detectors
SensorsFunctional near-infrared spectroscopy (fNIRS) can dynamically respond to the relevant state of brain activity based on the hemodynamic information of brain tissue. The cerebral cortex and gray matter are the main regions reflecting brain activity.
Zhiming Xing +3 more
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Information extraction and exclusivity [PDF]
, 2002 Much analysis has been recently devoted in the contract literature to economies in which each agent observes a signal about other agents' private information. This toghether with correlation among agents' outputs may be used to design information extraction mechanisms.
Alberto Bisin, Danilo Guaitoli
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Domain-Specific Dictionary between Human and Machine Languages
InformationIn the realm of artificial intelligence, knowledge graphs have become an effective area of research. Relationships between entities are depicted through a structural framework in knowledge graphs.
Md Saiful Islam, Fei Liu
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Structured Transformation of Unstructured Prostate MRI Reports Using Large Language Models
TomographyObjectives: to assess the ability of high-performing open-weight large language models (LLMs) in extracting key radiological features from prostate MRI reports. Methods: Five LLMs (Llama3.3, DeepSeek-R1-Llama3.3, Phi4, Gemma-2, and Qwen2.5-14B) were used
Luca Di Palma +3 more
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Review of the Approaches and Techniques of Text Mining in Clinical Documentation
مجله انفورماتیک سلامت و زیست پزشکی, 2018 Introduction: With the extensive use of electronic medical records systems, a large amount of medical text data is produced daily in the hospitals and other medical environments that organizing this text information is important and necessary.
Farzaneh Feizmanesh, Ali Asghar Safaei
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Information extraction from clinical notes: are we ready to switch to large language models? [PDF]
J Am Med Inform AssocHu Y +12 more
europepmc +1 more source