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Roose, K.: ¬The brilliance and weirdness of ChatGPT (2022)
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Boleda, G.; Evert, S.: Multiword expressions : a pain in the neck of lexical semantics (2009)
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- Date
- 1. 3.2013 14:56:22
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Janssen, J.-K.: ChatGPT-Klon läuft lokal auf jedem Rechner : Alpaca/LLaMA ausprobiert (2023)
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Baierer, K.; Zumstein, P.: Verbesserung der OCR in digitalen Sammlungen von Bibliotheken (2016)
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Lezius, W.: Morphy - Morphologie und Tagging für das Deutsche (2013)
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- Date
- 22. 3.2015 9:30:24
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Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023)
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- Date
- 29.12.2022 18:22:55
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Rieger, F.: Lügende Computer (2023)
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- Date
- 16. 3.2023 19:22:55
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Radford, A.; Narasimhan, K.; Salimans, T.; Sutskever, I.: Improving language understanding by Generative Pre-Training
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RWI/PH: Auf der Suche nach dem entscheidenden Wort : die Häufung bestimmter Wörter innerhalb eines Textes macht diese zu Schlüsselwörtern (2012)
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- Content
- "Die Dresdner Wissenschaftler haben die semantischen Eigenschaften von Texten mathematisch untersucht, indem sie zehn verschiedene englische Texte in unterschiedlichen Formen kodierten. Dazu zählt unter anderem die englische Ausgabe von Leo Tolstois "Krieg und Frieden". Beispielsweise übersetzten die Forscher Buchstaben innerhalb eines Textes in eine Binär-Sequenz. Dazu ersetzten sie alle Vokale durch eine Eins und alle Konsonanten durch eine Null. Mit Hilfe weiterer mathematischer Funktionen beleuchteten die Wissenschaftler dabei verschiedene Ebenen des Textes, also sowohl einzelne Vokale, Buchstaben als auch ganze Wörter, die in verschiedenen Formen kodiert wurden. Innerhalb des ganzen Textes lassen sich so wiederkehrende Muster finden. Diesen Zusammenhang innerhalb des Textes bezeichnet man als Langzeitkorrelation. Diese gibt an, ob zwei Buchstaben an beliebig weit voneinander entfernten Textstellen miteinander in Verbindung stehen - beispielsweise gibt es wenn wir an einer Stelle einen Buchstaben "K" finden, eine messbare höhere Wahrscheinlichkeit den Buchstaben "K" einige Seiten später nochmal zu finden. "Es ist zu erwarten, dass wenn es in einem Buch an einer Stelle um Krieg geht, die Wahrscheinlichkeit hoch ist das Wort Krieg auch einige Seiten später zu finden. Überraschend ist es, dass wir die hohe Wahrscheinlichkeit auch auf der Buchstabenebene finden", so Altmann.
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Rötzer, F.: KI-Programm besser als Menschen im Verständnis natürlicher Sprache (2018)
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- Date
- 22. 1.2018 11:32:44
