Wyniki wyszukiwania dla: MEDICAL SERVICES
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Elgold partial: Scientific papers' abstracts
Dane BadawczeThe dataset contains 87 Scientific papers' abstracts in English randomly chosen from the folowing scientific disciplines: Biomedicine, Life Sciences, Mathematics, Medicine, Science, Humanities, Social Science.
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Elgold partial: Amazon product reviews
Dane BadawczeThe dataset contains 34 Amazon product reviews in English. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity recognition and linking algorithms.
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Elgold partial: History blogs
Dane BadawczeThe dataset contains 13 texts from English history blogs. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity recognition and linking algorithms.
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Enabling Deeper Linguistic-based Text Analytics – Construct Development for the Criticality of Negative Service Experience
PublikacjaSignificant progress has been made in linguistic-based text analytics particularly with the increasing availability of data and deep learning computational models for more accurate opinion analysis and domain-specific entity recognition. In understanding customer service experience from texts, analysis of sentiments associated with different stages of the service lifecycle is a useful starting point. However, when richer insights...
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ENABLE-S3 Europejska inicjatywa umożliwiająca walidację wysoce zautomatyzowanych, bezpiecznych systemów
ProjektyProjekt realizowany w Katedra Inżynierii Mikrofalowej i Antenowej zgodnie z porozumieniem 692455 z dnia 2016-05-11
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Arrowhead Tools Narzędzia dla rozwoju cyfryzacji systemów
ProjektyProjekt realizowany w Katedra Inżynierii Mikrofalowej i Antenowej zgodnie z porozumieniem 826452 z dnia 2019-05-10