Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Knowledge base population"'
Publikováno v:
Вестник КазНУ. Серия математика, механика, информатика, Vol 114, Iss 2, Pp 91-100 (2022)
In this paper, we propose a pipeline aimed at automatically extracting tables from heterogeneousWeb sources, such as HTML pages, pdf files and images. Table extraction is one of the activelydeveloping areas of Information Extraction, for which many a
Externí odkaz:
https://doaj.org/article/ee7b118681994b5fb54d66abba67b374
Publikováno v:
Journal of Biomedical Semantics, Vol 13, Iss 1, Pp 1-18 (2022)
Abstract Background The evidence-based medicine paradigm requires the ability to aggregate and compare outcomes of interventions across different trials. This can be facilitated and partially automatized by information extraction systems. In order to
Externí odkaz:
https://doaj.org/article/33f0a5ba5b3749fb8cc7f5dfada8d531
Autor:
Albert Weichselbraun, Roger Waldvogel, Andreas Fraefel, Alexander van Schie, Philipp Kuntschik
Publikováno v:
Information, Vol 13, Iss 11, p 510 (2022)
As advances in science and technology, crisis, and increased competition impact labor markets, reskilling and upskilling programs emerged to mitigate their effects. Since information on continuing education is highly distributed across websites, choo
Externí odkaz:
https://doaj.org/article/fd42b643dc6d4f1fb9da1aa95f67cb78
Conference
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Akademický článek
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Named entity extraction is a crucial task to support the population of Knowledge Bases (KBs) from documents written in natural language. However, in many application domains, these documents must be collected and processed incrementally to update the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::713c6aa11e70a75aab7044e76ee4ea82
https://hdl.handle.net/10281/423118
https://hdl.handle.net/10281/423118
Background: The evidence-based medicine paradigm requires the ability to aggregate and compare outcomes of interventions across different trials. This can be facilitated and partially automatized by information extraction systems. In order to support
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::91aa13d8e651fe3b448f37dda95a216e
https://doi.org/10.1186/s13326-022-00271-7
https://doi.org/10.1186/s13326-022-00271-7
Publikováno v:
Information, Vol 9, Iss 6, p 133 (2018)
Slot Filling, a subtask of Relation Extraction, represents a key aspect for building structured knowledge bases usable for semantic-based information retrieval. In this work, we present a machine learning filter whose aim is to enhance the precision
Externí odkaz:
https://doaj.org/article/a754d17537cb4a779d2de9cdfafd7484
Akademický článek
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Publikováno v:
International Journal of Electrical and Computer Engineering (IJECE). 11:5450
In an Indian law system, different courts publish their legal proceedings every month for future reference of legal experts and common people. Extensive manual labor and time are required to analyze and process the information stored in these lengthy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f62480f653a95f1682d986e96d834b23
https://doi.org/10.11591/ijece.v11i6.pp5450-5457
https://doi.org/10.11591/ijece.v11i6.pp5450-5457