Search (22 results, page 1 of 2)

  • × theme_ss:"Computerlinguistik"
  • × year_i:[2020 TO 2030}
  1. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.12 
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  2. Weßels, D.: ChatGPT - ein Meilenstein der KI-Entwicklung (2022) 0.01 
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    Content
    "Seit dem 30. November 2022 ist meine Welt - und die vieler Bildungsexpertinnen und Bildungsexperten - gefühlt eine andere Welt, die uns in eine "Neuzeit" führt, von der wir noch nicht wissen, ob wir sie lieben oder fürchten sollen. Der Ableger und Prototyp ChatGPT des derzeit (zumindest in der westlichen Welt) führenden generativen KI-Sprachmodells GPT-3 von OpenAI wurde am 30. November veröffentlicht und ist seit dieser Zeit für jeden frei zugänglich und kostenlos. Was zunächst als unspektakuläre Ankündigung von OpenAI anmutete, nämlich das seit 2020 bereits verfügbare KI-Sprachmodell GPT-3 nun in leicht modifizierter Version (GPT-3,5) als Chat-Variante für die Echtzeit-Kommunikation bereitzustellen, entpuppt sich in der Anwendung - aus Sicht der Nutzerinnen und Nutzer - als Meilenstein der KI-Entwicklung. Fakt ist, dass die Leistungsvielfalt und -stärke von ChatGPT selbst IT-Expertinnen und -Experten überrascht hat und sie zu einer Fülle von Superlativen in der Bewertung veranlasst, jedoch immer in Kombination mit Hinweisen zur fehlenden Faktentreue und Verlässlichkeit derartiger generativer KI-Modelle. Mit WebGPT von OpenAI steht aber bereits ein Forschungsprototyp bereit, der mit integrierter Internetsuchfunktion die "Halluzinationen" aktueller GPT-Varianten ausmerzen könnte. Für den Bildungssektor stellt sich die Frage, wie sich das Lehren und Lernen an Hochschulen (und nicht nur dort) verändern wird, wenn derartige KI-Werkzeuge omnipräsent sind und mit ihrer Hilfe nicht nur die Hausarbeit "per Knopfdruck" erstellt werden kann. Beeindruckend ist zudem die fachliche Bandbreite von ChatGPT, siehe den Tweet von @davidtsong, der ChatGPT dem Studierfähigkeitstest SAT unterzogen hat."
  3. Albrecht, I.: GPT-3: die Zukunft studentischer Hausarbeiten oder eine Bedrohung der wissenschaftlichen Integrität? (2023) 0.01 
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    Date
    28. 1.2022 11:05:29
  4. Barthel, J.; Ciesielski, R.: Regeln zu ChatGPT an Unis oft unklar : KI in der Bildung (2023) 0.00 
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    Date
    29. 3.2023 13:23:26
    29. 3.2023 13:29:19
  5. ¬Der Student aus dem Computer (2023) 0.00 
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    Date
    27. 1.2023 16:22:55
  6. Müller, P.: Text-Automat mit Tücken (2023) 0.00 
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    Source
    Pirmasenser Zeitung. Nr. 29 vom 03.02.2023, S.2
  7. Scobel, G.: GPT: Eine Software, die die Welt verändert (2023) 0.00 
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    Date
    23. 1.2023 17:28:51
  8. Lutz-Westphal, B.: ChatGPT und der "Faktor Mensch" im schulischen Mathematikunterricht (2023) 0.00 
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    Date
    28. 2.2020 15:06:34
  9. Harari, Y.N.: ¬[Yuval-Noah-Harari-argues-that] AI has hacked the operating system of human civilisation (2023) 0.00 
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    Source
    https://www.economist.com/by-invitation/2023/04/28/yuval-noah-harari-argues-that-ai-has-hacked-the-operating-system-of-human-civilisation?giftId=6982bba3-94bc-441d-9153-6d42468817ad
  10. Hartnett, K.: Sind Sprachmodelle bald die besseren Mathematiker? (2023) 0.00 
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    Source
    Spektrum der Wissenschaft. 2023, H.7, S.28-31
  11. Weßels, D.: ChatGPT - ein Meilenstein der KI-Entwicklung (2023) 0.00 
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    Date
    28. 2.2020 15:06:34
  12. Abbe: Hoffnungen auf Verbesserung polizeilicher Texte durch Chatbot GPT : eine Statusaufnahme (2023) 0.00 
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    Date
    5. 1.2023 12:28:38
  13. Bischoff, M.: Was steckt hinter ChatGTP & Co? (2023) 0.00 
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    Date
    12. 4.2023 20:29:54
  14. Morris, V.: Automated language identification of bibliographic resources (2020) 0.00 
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    Date
    2. 3.2020 19:04:22
  15. Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023) 0.00 
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    Date
    29.12.2022 18:22:55
  16. Rieger, F.: Lügende Computer (2023) 0.00 
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    Date
    16. 3.2023 19:22:55
  17. Thomas, I.S.; Wang, J.; GPT-3: Was euch zu Menschen macht : Antworten einer künstlichen Intelligenz auf die großen Fragen des Lebens (2022) 0.00 
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    Date
    7. 1.2023 18:41:29
  18. Lund, B.D.; Wang, T.; Mannuru, N.R.; Nie, B.; Shimray, S.; Wang, Z.: ChatGPT and a new academic reality : artificial Intelligence-written research papers and the ethics of the large language models in scholarly publishing (2023) 0.00 
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    Date
    19. 4.2023 19:29:44
  19. Pepper, S.; Arnaud, P.J.L.: Absolutely PHAB : toward a general model of associative relations (2020) 0.00 
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    Abstract
    There have been many attempts at classifying the semantic modification relations (R) of N + N compounds but this work has not led to the acceptance of a definitive scheme, so that devising a reusable classification is a worthwhile aim. The scope of this undertaking is extended to other binominal lexemes, i.e. units that contain two thing-morphemes without explicitly stating R, like prepositional units, N + relational adjective units, etc. The 25-relation taxonomy of Bourque (2014) was tested against over 15,000 binominal lexemes from 106 languages and extended to a 29-relation scheme ("Bourque2") through the introduction of two new reversible relations. Bourque2 is then mapped onto Hatcher's (1960) four-relation scheme (extended by the addition of a fifth relation, similarity , as "Hatcher2"). This results in a two-tier system usable at different degrees of granularities. On account of its semantic proximity to compounding, metonymy is then taken into account, following Janda's (2011) suggestion that it plays a role in word formation; Peirsman and Geeraerts' (2006) inventory of 23 metonymic patterns is mapped onto Bourque2, confirming the identity of metonymic and binominal modification relations. Finally, Blank's (2003) and Koch's (2001) work on lexical semantics justifies the addition to the scheme of a third, superordinate level which comprises the three Aristotelean principles of similarity, contiguity and contrast.
  20. Laparra, E.; Binford-Walsh, A.; Emerson, K.; Miller, M.L.; López-Hoffman, L.; Currim, F.; Bethard, S.: Addressing structural hurdles for metadata extraction from environmental impact statements (2023) 0.00 
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    Date
    29. 8.2023 19:21:01

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