Zobrazeno 1 - 10 of 10 pro vyhledávání: '"Natalie Dykes"'
1
Präsentation von Palliativstationen und SAPV-Teams im Internet – eine korpusbasierte Metaanalyse von Webseiten
Autor: Joachim Peters, Natalie Dykes, Maria Heckel, Christoph Ostgathe, Mechthild Habermann
Publikováno v: Zeitschrift für Palliativmedizin. 23:46-53
Zusammenfassung Hintergrund Internetseiten stellen eine wichtige Säule in der Darstellungs- und Informationspolitik palliativmedizinischer Angebote dar. Sie fungieren als Anlaufstelle für Patienten und Angehörige, aber auch für medizinisch intere
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a5300e5bdfc624bff7e9d056bc273e10
https://doi.org/10.1055/a-1689-7524
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2
Argument parsing via corpus queries
Autor: Merlin Göttlinger, Philipp Heinrich, Lutz Schröder, Stefan Evert, Natalie Dykes
Publikováno v: it - Information Technology. 63:31-44
We present an approach to extracting arguments from social media, exemplified by a case study on a large corpus of Twitter messages collected under the #Brexit hashtag during the run-up to the referendum in 2016. Our method is based on constructing d
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d486924f256694ea90f3c6a4c493d329
https://doi.org/10.1515/itit-2020-0051
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3
Reconstructing Arguments from Noisy Text
Autor: Stefan Evert, Merlin Göttlinger, Natalie Dykes, Philipp Heinrich, Lutz Schröder
Publikováno v: Datenbank-Spektrum. 20:123-129
Social media are of paramount importance to public discourse. RANT aims to contribute methods and formalisms for extracting, representing, and processing arguments from noisy text found in social media discussions, using a large corpus of pre-referen
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3189075354793434960cceaa7cff90e3
https://doi.org/10.1007/s13222-020-00342-y
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4
A Linguistic Model of Communication Types in Palliative Medicine: Effects of Multidrug-Resistant Organisms Colonization or Infection and Isolation Measures in End of Life on Family Caregivers' Knowledge, Attitude, and Practices
Autor: Natalie Dykes, Christoph Ostgathe, Maria Heckel, Joachim Peters
Publikováno v: Journal of Palliative Medicine. 22:1501-1505
Background: This study examines communication profiles and associated attitudes toward health care professionals in interviews with family caregivers of hospitalized patients with confirmed multidrug-resistant organisms (e.g., methicillin-resistant S
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5ad7d7becccee0bd5f2e47622efdc6a
https://doi.org/10.1089/jpm.2019.0027
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6
Metaphors in German newspaper articles on multidrug-resistant bacteria in clinical contexts, 1995–2015
Autor: Joachim Peters, Maria Heckel, Mechthild Habermann, Natalie Dykes, Christoph Ostgathe
Publikováno v: Metaphor and the Social World. 9:221-241
The study investigates the usage of metaphorical structures in the German press discourse on multi-resistant pathogens in the clinical context by applying methods of qualitative discourse analysis to a corpus of 900 newspaper and magazine articles pu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5544e19c7e6fad6e71812a7714a981b8
https://doi.org/10.1075/msw.18006.pet
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9
Reconstructing argumentation patterns in German newspaper articles on multidrug-resistant pathogens: a multi-measure keyword approach
Autor: Natalie Dykes, Joachim Peters
Publikováno v: Journal of Corpora and Discourse Studies. 3:51
This study explores the reconstruction of argumentative patterns through keywords in a newspaper corpus on multi-resistant organisms. Starting from manually identified frequent argumentation patterns based on a previous study by (Author, 2017), keywo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a8e3024d477e088533f14470ab4abff
https://doi.org/10.18573/jcads.35
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10
KLUEless: Polarity Classification and Association
Autor: Andreas Lerner, Micha Kohl, Heiko Ermer, Nataliia Plotnikova, Natalie Dykes, Kevin Volkert, Stefan Evert
Publikováno v: SemEval@NAACL-HLT
This paper describes the KLUEless system which participated in the SemEval-2015 task on “Sentiment Analysis in Twitter”. This year the updated system based on the developments for the same task in 2014 (Evert et al., 2014) and 2013 (Proisl et al.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ee7405a6eddb17d744fa5a07bda9d832
https://doi.org/10.18653/v1/s15-2103
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