-
Noever, D.; Ciolino, M.: ¬The Turing deception (2022)
0.15
0.14634888 = product of:
0.29269776 = sum of:
0.07317444 = product of:
0.21952331 = sum of:
0.21952331 = weight(_text_:3a in 862) [ClassicSimilarity], result of:
0.21952331 = score(doc=862,freq=2.0), product of:
0.39059833 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046071928 = queryNorm
0.56201804 = fieldWeight in 862, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=862)
0.33333334 = coord(1/3)
0.21952331 = weight(_text_:2f in 862) [ClassicSimilarity], result of:
0.21952331 = score(doc=862,freq=2.0), product of:
0.39059833 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046071928 = queryNorm
0.56201804 = fieldWeight in 862, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=862)
0.5 = coord(2/4)
- Source
- https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
-
Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996)
0.01
0.013241516 = product of:
0.052966066 = sum of:
0.052966066 = product of:
0.10593213 = sum of:
0.10593213 = weight(_text_:22 in 3227) [ClassicSimilarity], result of:
0.10593213 = score(doc=3227,freq=4.0), product of:
0.16133605 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046071928 = queryNorm
0.6565931 = fieldWeight in 3227, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.09375 = fieldNorm(doc=3227)
0.5 = coord(1/2)
0.25 = coord(1/4)
- Date
- 7. 2.1996 22:38:41
- Pages
- 22 S
-
Robertson, S.E.: OKAPI at TREC (1994)
0.01
0.008994915 = product of:
0.03597966 = sum of:
0.03597966 = product of:
0.07195932 = sum of:
0.07195932 = weight(_text_:design in 7952) [ClassicSimilarity], result of:
0.07195932 = score(doc=7952,freq=2.0), product of:
0.17322445 = queryWeight, product of:
3.7598698 = idf(docFreq=2798, maxDocs=44218)
0.046071928 = queryNorm
0.41541085 = fieldWeight in 7952, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.7598698 = idf(docFreq=2798, maxDocs=44218)
0.078125 = fieldNorm(doc=7952)
0.5 = coord(1/2)
0.25 = coord(1/4)
- Abstract
- Paper presented at the Text Retrieval Conference (TREC), Washington, DC, Nov 1992. Describes the OKAPI experimental text information retrieval system in terms of its design principles: the use of simple, robust and easy to use techniques which use best match searching and avoid Boolean logic
-
Wätjen, H.-J.: Mensch oder Maschine? : Auswahl und Erschließung vonm Informationsressourcen im Internet (1996)
0.01
0.007802638 = product of:
0.031210553 = sum of:
0.031210553 = product of:
0.062421106 = sum of:
0.062421106 = weight(_text_:22 in 3161) [ClassicSimilarity], result of:
0.062421106 = score(doc=3161,freq=2.0), product of:
0.16133605 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046071928 = queryNorm
0.38690117 = fieldWeight in 3161, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.078125 = fieldNorm(doc=3161)
0.5 = coord(1/2)
0.25 = coord(1/4)
- Date
- 2. 2.1996 15:40:22
-
Lange, C.; Ion, P.; Dimou, A.; Bratsas, C.; Sperber, W.; Kohlhasel, M.; Antoniou, I.: Getting mathematics towards the Web of Data : the case of the Mathematics Subject Classification (2012)
0.00
0.0044974573 = product of:
0.01798983 = sum of:
0.01798983 = product of:
0.03597966 = sum of:
0.03597966 = weight(_text_:design in 111) [ClassicSimilarity], result of:
0.03597966 = score(doc=111,freq=2.0), product of:
0.17322445 = queryWeight, product of:
3.7598698 = idf(docFreq=2798, maxDocs=44218)
0.046071928 = queryNorm
0.20770542 = fieldWeight in 111, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.7598698 = idf(docFreq=2798, maxDocs=44218)
0.0390625 = fieldNorm(doc=111)
0.5 = coord(1/2)
0.25 = coord(1/4)
- Abstract
- The Mathematics Subject Classification (MSC), maintained by the American Mathematical Society's Mathematical Reviews (MR) and FIZ Karlsruhe's Zentralblatt für Mathematik (Zbl), is a scheme for classifying publications in mathematics according to their subjects. While it is widely used, its traditional, idiosyncratic conceptualization and representation requires custom implementations of search, query and annotation support. This did not encourage people to create and explore connections of mathematics to subjects of related domains (e.g. science), and it made the scheme hard to maintain. We have reimplemented the current version of MSC2010 as a Linked Open Dataset using SKOS and our focus is concentrated on turning it into the new MSC authority. This paper explains the motivation, and details of our design considerations and how we realized them in the implementation. We present in-the-field use cases and point out how e-science applications can take advantage of the MSC LOD set. We conclude with a roadmap for bootstrapping the presence of mathematical and mathematics-based science, technology, and engineering knowledge on the Web of Data, where it has been noticeably underrepresented so far, starting from MSC/SKOS as a seed.
-
Zhai, X.: ChatGPT user experience: : implications for education (2022)
0.00
0.0044974573 = product of:
0.01798983 = sum of:
0.01798983 = product of:
0.03597966 = sum of:
0.03597966 = weight(_text_:design in 849) [ClassicSimilarity], result of:
0.03597966 = score(doc=849,freq=2.0), product of:
0.17322445 = queryWeight, product of:
3.7598698 = idf(docFreq=2798, maxDocs=44218)
0.046071928 = queryNorm
0.20770542 = fieldWeight in 849, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.7598698 = idf(docFreq=2798, maxDocs=44218)
0.0390625 = fieldNorm(doc=849)
0.5 = coord(1/2)
0.25 = coord(1/4)
- 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.
-
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)
0.00
0.003901319 = product of:
0.015605276 = sum of:
0.015605276 = product of:
0.031210553 = sum of:
0.031210553 = weight(_text_:22 in 1171) [ClassicSimilarity], result of:
0.031210553 = score(doc=1171,freq=2.0), product of:
0.16133605 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046071928 = queryNorm
0.19345059 = fieldWeight in 1171, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=1171)
0.5 = coord(1/2)
0.25 = coord(1/4)
- Date
- 23.11.2023 19:07:22
