Results 21 to 30 of about 3,189,703 (344)
Automatic extraction of opera character characteristics through lexical-syntactic patterns
Umanistica Digitale, 2021 The paper presents the experimentation of rules based on syntactic patterns for the extraction of interpersonal relationships between characters from the opera repertoire of the 18th century.
Paolo Bonora, Angelo Pompilio
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Frontiers in Marine Science, 2022 Historical biodiversity documents comprise an important link to the long-term data life cycle and provide useful insights on several aspects of biodiversity research and management.
Savvas Paragkamian +18 more
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A Network Method for Identifying the Root Cause of High-Speed Rail Faults Based on Text Data
Energies, 2019 Root cause identification is an important task in providing prompt assistance for diagnosis, security monitoring and guidance for specific routine maintenance measures in the field of railway transportation.
Liu Yang +4 more
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An Analysis of Structured Data on the Web [PDF]
, 2012 In this paper, we analyze the nature and distribution of structured data on the Web. Web-scale information extraction, or the problem of creating structured tables using extraction from the entire web, is gathering lots of research interest. We perform a
Dalvi, Nilesh +2 more
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Information Extraction from Unstructured data using Augmented-AI and Computer Vision [PDF]
arXiv, 2023 Process of information extraction (IE) is often used to extract meaningful information from unstructured and unlabeled data. Conventional methods of data extraction including application of OCR and passing extraction engine, are inefficient on large data and have their limitation.
arxiv
HyperPIE: Hyperparameter Information Extraction from Scientific Publications [PDF]
, 2023 Automatic extraction of information from publications is key to making scientific knowledge machine readable at a large scale. The extracted information can, for example, facilitate academic search, decision making, and knowledge graph construction. An important type of information not covered by existing approaches is hyperparameters.
arxiv +1 more source
Mathematical Biosciences and Engineering, 2022 Information extraction (IE) is an important part of the entire knowledge graph lifecycle. In the food domain, extracting information such as ingredient and cooking method from Chinese recipes is crucial to safety risk analysis and identification of ...
Mengqi Zhang +4 more
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Cauchy Principal Value Contour Integral with Applications
Entropy, 2017 Cauchy principal value is a standard method applied in mathematical applications by which an improper, and possibly divergent, integral is measured in a balanced way around singularities or at infinity.
Matilde Legua, Luis M. Sánchez-Ruiz
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Unsupervised Technical Domain Terms Extraction using Term Extractor [PDF]
arXiv, 2021 Terminology extraction, also known as term extraction, is a subtask of information extraction. The goal of terminology extraction is to extract relevant words or phrases from a given corpus automatically. This paper focuses on the unsupervised automated domain term extraction method that considers chunking, preprocessing, and ranking domain-specific ...
arxiv
A Survey of Key Technology of Network Public Opinion Analysis
MATEC Web of Conferences, 2016 The internet has become an important base for internet users to make comments because of its interactivity and fast dissemination. The outbreak of internet public opinion has become a major risk for network information security.
Li Su Ying
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