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Müller, P.: Text-Automat mit Tücken (2023) 1.00

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Suissa, O.; Elmalech, A.; Zhitomirsky-Geffet, M.: Text analysis using deep neural networks in digital humanities and information science (2022) 1.00
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Al-Khatib, K.; Ghosa, T.; Hou, Y.; Waard, A. de; Freitag, D.: Argument mining for scholarly document processing : taking stock and looking ahead (2021) 1.00
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Aizawa, A.; Kohlhase, M.: Mathematical information retrieval (2021) 1.00
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Collard, J.; Paiva, V. de; Fong, B.; Subrahmanian, E.: Extracting mathematical concepts from text (2022) 1.00
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Liu, P.J.; Saleh, M.; Pot, E.; Goodrich, B.; Sepassi, R.; Kaiser, L.; Shazeer, N.: Generating Wikipedia by summarizing long sequences (2018) 1.00
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Hahn, U.: Automatische Sprachverarbeitung (2023) 1.00

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Siegel, M.: Maschinelle Übersetzung (2023) 1.00

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Schaer, P.: Sprachmodelle und neuronale Netze im Information Retrieval (2023) 1.00
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Szöke, D.: ChatGPT : wie Sie die KI ausprobieren können (2022) 1.00
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Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023) 1.00
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Corbara, S.; Moreo, A.; Sebastiani, F.: Syllabic quantity patterns as rhythmic features for Latin authorship attribution (2023) 1.00
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Lobo, S.: ¬Das Ende von Google, wie wir es kannten : Bessere Treffer durch ChatGPT (2022) 1.00
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Roose, K.: ¬The brilliance and weirdness of ChatGPT (2022) 1.00
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Metz, C.: ¬The new chatbots could change the world : can you trust them? (2022) 1.00
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Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 1.00
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Simanowski, R.: Wenn die Dinge anfangen zu sprechen : Chatbot LaMDA von Google (2022) 1.00
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Shree, P.: ¬The journey of Open AI GPT models (2020) 1.00
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Radford, A.; Narasimhan, K.; Salimans, T.; Sutskever, I.: Improving language understanding by Generative Pre-Training 1.00
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Radford, A.; Wu, J.; Child, R.; Luan, D.; Amode, D.; Sutskever, I.: Language models are unsupervised multitask learners 1.00
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