-
Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004)
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- Content
- Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
- Date
- 8. 1.2013 10:22:32
-
Noever, D.; Ciolino, M.: ¬The Turing deception (2022)
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- Source
- https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
-
Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012)
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- Content
- A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Computer Science. Vgl. Unter: http://www.inf.ufrgs.br%2F~ceramisch%2Fdownload_files%2Fpublications%2F2009%2Fp01.pdf.
- Date
- 10. 1.2013 19:22:47
-
¬Der Student aus dem Computer (2023)
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- Abstract
- Kann gut zitieren, aber schlecht rechnen: Künstliche Intelligenz besteht Juraprüfung an US-Uni
- Date
- 27. 1.2023 16:22:55
-
Hartnett, K.: Sind Sprachmodelle bald die besseren Mathematiker? (2023)
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- Series
- Künstliche Intelligenz
-
Schönbächler, E.; Strasser, T.; Himpsl-Gutermann, K.: Vom Chat zum Check : Informationskompetenz mit ChatGPT steigern (2023)
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- Abstract
- Der Beitrag greift den aktuellen Diskurs um die KI-Anwendung ChatGPT und deren Bedeutung in Schule und Hochschule auf. Dabei werden durch einen Überblick über verschiedene Assistenzsysteme, die auf Künstlicher Intelligenz beruhen, Grundlagen und Unterschiede herausgearbeitet. Der Bereich der Chatbots wird näher beleuchtet, die beiden grundlegenden Arten des regelbasierten Chatbots und des Machine Learning Bots werden anhand von anschaulichen Beispielen praxisnah erklärt. Schließlich wird herausgearbeitet, dass Informationskompetenz als Schlüsselkompetenz des 21. Jahrhunderts auch die wesentliche Grundlage dafür ist, im Bildungsbereich konstruktiv mit KI-Systemen wie ChatGPT umzugehen und die wesentlichen Funktionsmechanismen zu verstehen. Ein Unterrichtsentwurf zum Thema "Biene" schließt den Praxisbeitrag ab.
-
Semantik und künstliche Intelligenz : Beiträge zur automatischen Sprachbearbeitung II (1977)
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-
Leinfellner, E.: Semantische Netze und Textzusammenhang (1992)
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- Footnote
- Rez in: Künstliche Intelligenz. 1994, H.2, S.75-76 (A. Rothkegel)
-
Ney, H.: Maschinelle Sprachverarbeitung und Statistik (1995)
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- Source
- Künstliche Intelligenz. 1995, H.5, S.27-33
-
Leighton, T.: ChatGPT und Künstliche Intelligenz : Utopie oder Dystopie? (2023)
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- Source
- https://www.heise.de/tp/features/ChatGPT-und-Kuenstliche-Intelligenz-Utopie-oder-Dystopie-7445181.html?view=print
-
Linguistische Datenverarbeitung : Versuch einer Standortbestimmung im Umfeld von Informationslinguistik und künstlicher Intelligenz (1982)
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-
Minsky, M.L.: Materie, Geist, Modell (1977)
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- Source
- Semantik und künstliche Intelligenz: Beiträge zur automatischen Sprachbearbeitung II. Hsrg. u. eingeleitet von P. Eisenberg
-
Schank, R.C.: Computer, elementare Aktionen und linguistische Theorien (1977)
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- Source
- Semantik und künstliche Intelligenz: Beiträge zur automatischen Sprachbearbeitung II. Hrsg. und eingeleitet von P. Eisenberg
-
Winograd, T.: ¬Ein prozedurales Modell des Sprachverstehens (1977)
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- Source
- Semantik und künstliche Intelligenz: Beiträge zur automatischen Sprachbearbeitung II. Hrsg. u. eingeleitet von P. Eisenberg
-
Hodgson, J.P.E.: Knowledge representation and language in AI (1991)
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- BK
- 54.72 / Künstliche Intelligenz
- Classification
- 54.72 / Künstliche Intelligenz
- RSWK
- Wissensrepräsentation / Künstliche Intelligenz (BVB)
Künstliche Intelligenz / Programmiersprache (BVB)
- Subject
- Wissensrepräsentation / Künstliche Intelligenz (BVB)
Künstliche Intelligenz / Programmiersprache (BVB)
-
Bátori, I.: ¬Der sprachliche Verarbeitungsprozeß als paradigmatischer Kern der linguistischen Datenverarbeitung (1982)
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- Source
- Linguistische Datenverarbeitung: Versuch einer Standortbestimmung im Umfeld von Informationslinguistik und Künstlicher Intelligenz. Hrsg.: I. Bátori u.a
-
Müller, P.: Text-Automat mit Tücken (2023)
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- Abstract
- Ein Coputerprogramm erstaunt derzeit viele Menschen: ChatGPT zeigt, was künstliche Intelligenz zu leisten vermag - und welche Risiken die Technologie mit sich bringt.
-
Schneider, R.U.: Darf der Computer die Seminararbeit schreiben? (2023)
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- Abstract
- Fast alle Studenten lassen sich bei schriftlichen Arbeiten von künstlicher Intelligenz helfen. Manche halten das für Betrug, andere für die Zukunft der Bildung.
-
Rötzer, F.: KI-Programm besser als Menschen im Verständnis natürlicher Sprache (2018)
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- Abstract
- Jetzt scheint es allmählich ans Eingemachte zu gehen. Ein von der chinesischen Alibaba-Gruppe entwickelte KI-Programm konnte erstmals Menschen in der Beantwortung von Fragen und dem Verständnis von Text schlagen. Die chinesische Regierung will das Land führend in der Entwicklung von Künstlicher Intelligenz machen und hat dafür eine nationale Strategie aufgestellt. Dazu ernannte das Ministerium für Wissenschaft und Technik die Internetkonzerne Baidu, Alibaba und Tencent sowie iFlyTek zum ersten nationalen Team für die Entwicklung der KI-Technik der nächsten Generation. Baidu ist zuständig für die Entwicklung autonomer Fahrzeuge, Alibaba für die Entwicklung von Clouds für "city brains" (Smart Cities sollen sich an ihre Einwohner und ihre Umgebung anpassen), Tencent für die Enwicklung von Computervision für medizinische Anwendungen und iFlyTec für "Stimmenintelligenz". Die vier Konzerne sollen offene Plattformen herstellen, die auch andere Firmen und Start-ups verwenden können. Überdies wird bei Peking für eine Milliarde US-Dollar ein Technologiepark für die Entwicklung von KI gebaut. Dabei geht es selbstverständlich nicht nur um zivile Anwendungen, sondern auch militärische. Noch gibt es in den USA mehr KI-Firmen, aber China liegt bereits an zweiter Stelle. Das Pentagon ist beunruhigt. Offenbar kommt China rasch vorwärts. Ende 2017 stellte die KI-Firma iFlyTek, die zunächst auf Stimmerkennung und digitale Assistenten spezialisiert war, einen Roboter vor, der den schriftlichen Test der nationalen Medizinprüfung erfolgreich bestanden hatte. Der Roboter war nicht nur mit immensem Wissen aus 53 medizinischen Lehrbüchern, 2 Millionen medizinischen Aufzeichnungen und 400.000 medizinischen Texten und Berichten gefüttert worden, er soll von Medizinexperten klinische Erfahrungen und Falldiagnosen übernommen haben. Eingesetzt werden soll er, in China herrscht vor allem auf dem Land, Ärztemangel, als Helfer, der mit der automatischen Auswertung von Patientendaten eine erste Diagnose erstellt und ansonsten Ärzten mit Vorschlägen zur Seite stehen.
- Date
- 22. 1.2018 11:32:44
-
Schulz, A.: Motivierte Maschinen : Sprachcomputer (2002)
0.02
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- Abstract
- Experten für Künstliche Intelligenz simulieren den menschlichen Spracherwerb per Computer. Dazu imitieren sie Funktionsprinzipien des Gehirns. Ergebnis: ein Programm, das ab und zu hungrig wird
