Zobrazeno 1 - 10 of 10 pro vyhledávání: '"Philipp Kuntschik"'
1
Akademický článek
Building Knowledge Graphs and Recommender Systems for Suggesting Reskilling and Upskilling Options from the Web
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
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2
Akademický článek
Adapting Data-Driven Research to the Fields of Social Sciences and the Humanities
Autor: Albert Weichselbraun, Philipp Kuntschik, Vincenzo Francolino, Mirco Saner, Urs Dahinden, Vinzenz Wyss
Publikováno v: Future Internet, Vol 13, Iss 3, p 59 (2021)
Recent developments in the fields of computer science, such as advances in the areas of big data, knowledge extraction, and deep learning, have triggered the application of data-driven research methods to disciplines such as the social sciences and h
Externí odkaz: https://doaj.org/article/ddda4e29ee1a44368f20490de224b399
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3
Optimierung von Unternehmensbewertungen durch automatisierte Wissensidentifikation, -extraktion und -integration
Autor: Sandro Hörler, Albert Weichselbraun, Philipp Kuntschik
Publikováno v: Information - Wissenschaft & Praxis. 71:321-325
Zusammenfassung Unternehmensbewertungen in der Biotech-Branche, Pharmazie und Medizintechnik stellen eine anspruchsvolle Aufgabe dar, insbesondere bei Berücksichtigung der einzigartigen Risiken, denen Biotech-Startups beim Eintritt in neue Märkte a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::05dc0e2b4018ea2ee46aad003d280380
https://doi.org/10.1515/iwp-2020-2119
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6
Evaluation eines Online-Tutorials zum Prostatakarzinom
Autor: Urs Dahinden, Philipp Kuntschik, Fabian Odoni, A. Mattei, Peter Spörri, G. Tenti, R. T. Strebel, René Schaffert, J. Kamradt, Tanja Hess, S. Subotic, Peter Rüesch, Hans-Peter Schmid, Andreas Bänziger, M. Müntener
Publikováno v: Der Urologe. 57:164-171
Angesichts verschiedener Behandlungsoptionen ist die Information und Therapieentscheidung beim lokalisierten Prostatakarzinom eine Herausforderung. Die digitale Informationstechnologie bietet im Vergleich zu gedruckten Informationen mehr Moglichkeite
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::17bc3c8b68ca679e9ebf5e1ff21cb727
https://doi.org/10.1007/s00120-017-0552-8
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7
Improving Named Entity Linking Corpora Quality
Autor: Albert Weichselbraun, Philipp Kuntschik, Lyndon J. B. Nixon, Adrian M. P. Brasoveanu
Publikováno v: RANLP
Gold standard corpora and competitive evaluations play a key role in benchmarking named entity linking (NEL) performance and driving the development of more sophisticated NEL systems. The quality of the used corpora and the used evaluation metrics ar
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2fa88b7a55a237ca5d026eeb4dcc5516
https://doi.org/10.26615/978-954-452-056-4_152
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8
Mining and Leveraging Background Knowledge for Improving Named Entity Linking
Autor: Philipp Kuntschik, Adrian M. P. Brasoveanu, Albert Weichselbraun
Publikováno v: WIMS
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics-WIMS 18
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics -WIMS '18
Knowledge-rich Information Extraction (IE) methods aspire towards combining classical IE with background knowledge obtained from third-party resources. Linked Open Data repositories that encode billions of machine readable facts from sources such as
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad95a0dddbd50a8936d2deb141b12a46
https://doi.org/10.1145/3227609.3227670
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9
Mitigating linked data quality issues in knowledge-intense information extraction methods
Autor: Albert Weichselbraun, Philipp Kuntschik
Publikováno v: WIMS
Advances in research areas such as named entity linking and sentiment analysis have triggered the emergence of knowledge-intensive information extraction methods that combine classical information extraction with background knowledge from the Web. De
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a3f8c37a812021813546d48571568c26
https://doi.org/10.1145/3102254.3102272
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10
On the Importance of Drill-Down Analysis for Assessing Gold Standards and Named Entity Linking Performance
Autor: Fabian Odoni, Adrian M. P. Brasoveanu, Philipp Kuntschik, Albert Weichselbraun
Publikováno v: Procedia Computer Science
Rigorous evaluations and analyses of evaluation results are key towards improving Named Entity Linking systems. Nevertheless, most current evaluation tools are focused on benchmarking and comparative evaluations. Therefore, they only provide aggregat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de6c828617d61a50f9ee8aad4b7a2fb6
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