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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
-
Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996)
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- Date
- 7. 2.1996 22:38:41
- Pages
- 22 S
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Terekhova, L.A.: System of multi-lingual catalogues and the problems arising at the initial stage of electronic data base creation (1995)
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-
Kaparova, N.; Shwartsman, M.: Creation of the electronic resources metadatabase in russia : problems and prospects (2000)
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-
Lehmann, F.: Semiosis complicates high-level ontology (2000)
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- Abstract
- For automated question-answering, natural-language understanding, semantic integration of different databases/standards/thesauri/etc., you need a big complicated ontology of concepts and a logical language to combine them. Cyc (www.cyc.com) is such a system. It's good for your upper ontology to be systematic and clear, One way is to have a small number of well-defined distinctions at the top, by which all more specific concepts are partitioned. This is a system of "factors", or "facets" in Ranganathan's sense Iyer 1995) much like Aristotle's "differentia" in his "categories", as promoted in John Sowa's "ontological crystal". Practical considerations have driven Cyc's builders to mess up the neatness of such upper divisions. In particular, the simplicity of some very high "factors" is confounded, for practical use, by the occurrence in our world of semiosis and representation This talk will report on some of our experiences
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Wilk, D.: Problems in the use of Library of Congress Subject Headings as the basis for Hebrew subject headings in the Bar-Ilan University Library (2000)
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-
Wätjen, H.-J.: Mensch oder Maschine? : Auswahl und Erschließung vonm Informationsressourcen im Internet (1996)
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- Date
- 2. 2.1996 15:40:22
-
Zhai, X.: ChatGPT user experience: : implications for education (2022)
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- Abstract
- ChatGPT, a general-purpose conversation chatbot released on November 30, 2022, by OpenAI, is expected to impact every aspect of society. However, the potential impacts of this NLP tool on education remain unknown. Such impact can be enormous as the capacity of ChatGPT may drive changes to educational learning goals, learning activities, and assessment and evaluation practices. This study was conducted by piloting ChatGPT to write an academic paper, titled Artificial Intelligence for Education (see Appendix A). The piloting result suggests that ChatGPT is able to help researchers write a paper that is coherent, (partially) accurate, informative, and systematic. The writing is extremely efficient (2-3 hours) and involves very limited professional knowledge from the author. Drawing upon the user experience, I reflect on the potential impacts of ChatGPT, as well as similar AI tools, on education. The paper concludes by suggesting adjusting learning goals-students should be able to use AI tools to conduct subject-domain tasks and education should focus on improving students' creativity and critical thinking rather than general skills. To accomplish the learning goals, researchers should design AI-involved learning tasks to engage students in solving real-world problems. ChatGPT also raises concerns that students may outsource assessment tasks. This paper concludes that new formats of assessments are needed to focus on creativity and critical thinking that AI cannot substitute.
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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)
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- Date
- 23.11.2023 19:07:22
