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Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.04

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Source: https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN

¬Der Student aus dem Computer (2023) 0.02

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Date: 27. 1.2023 16:22:55

Chou, C.; Chu, T.: ¬An analysis of BERT (NLP) for assisted subject indexing for Project Gutenberg (2022) 0.02
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Abstract

In light of AI (Artificial Intelligence) and NLP (Natural language processing) technologies, this article examines the feasibility of using AI/NLP models to enhance the subject indexing of digital resources. While BERT (Bidirectional Encoder Representations from Transformers) models are widely used in scholarly communities, the authors assess whether BERT models can be used in machine-assisted indexing in the Project Gutenberg collection, through suggesting Library of Congress subject headings filtered by certain Library of Congress Classification subclass labels. The findings of this study are informative for further research on BERT models to assist with automatic subject indexing for digital library collections.

Morris, V.: Automated language identification of bibliographic resources (2020) 0.01

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Date: 2. 3.2020 19:04:22

Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023) 0.01

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Date: 29.12.2022 18:22:55

Rieger, F.: Lügende Computer (2023) 0.01

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Date: 16. 3.2023 19:22:55

Luo, L.; Ju, J.; Li, Y.-F.; Haffari, G.; Xiong, B.; Pan, S.: ChatRule: mining logical rules with large language models for knowledge graph reasoning (2023) 0.01

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Date: 23.11.2023 19:07:22

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