Search (7 results, page 1 of 1)

  • × year_i:[2020 TO 2030}
  • × theme_ss:"Computerlinguistik"
  1. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.04
    0.040246032 = product of:
      0.080492064 = sum of:
        0.080492064 = product of:
          0.24147618 = sum of:
            0.24147618 = weight(_text_:3a in 862) [ClassicSimilarity], result of:
              0.24147618 = score(doc=862,freq=2.0), product of:
                0.42965913 = queryWeight, product of:
                  8.478011 = idf(docFreq=24, maxDocs=44218)
                  0.050679237 = 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)
      0.5 = coord(1/2)
    
    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  2. Hausser, R.: Language and nonlanguage cognition (2021) 0.03
    0.026520537 = product of:
      0.053041074 = sum of:
        0.053041074 = product of:
          0.10608215 = sum of:
            0.10608215 = weight(_text_:maps in 255) [ClassicSimilarity], result of:
              0.10608215 = score(doc=255,freq=2.0), product of:
                0.28477904 = queryWeight, product of:
                  5.619245 = idf(docFreq=435, maxDocs=44218)
                  0.050679237 = queryNorm
                0.37250686 = fieldWeight in 255, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  5.619245 = idf(docFreq=435, maxDocs=44218)
                  0.046875 = fieldNorm(doc=255)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    A basic distinction in agent-based data-driven Database Semantics (DBS) is between language and nonlanguage cognition. Language cognition transfers content between agents by means of raw data. Nonlanguage cognition maps between content and raw data inside the focus agent. {\it Recognition} applies a concept type to raw data, resulting in a concept token. In language recognition, the focus agent (hearer) takes raw language-data (surfaces) produced by another agent (speaker) as input, while nonlanguage recognition takes raw nonlanguage-data as input. In either case, the output is a content which is stored in the agent's onboard short term memory. {\it Action} adapts a concept type to a purpose, resulting in a token. In language action, the focus agent (speaker) produces language-dependent surfaces for another agent (hearer), while nonlanguage action produces intentions for a nonlanguage purpose. In either case, the output is raw action data. As long as the procedural implementation of place holder values works properly, it is compatible with the DBS requirement of input-output equivalence between the natural prototype and the artificial reconstruction.
  3. ¬Der Student aus dem Computer (2023) 0.02
    0.02403218 = product of:
      0.04806436 = sum of:
        0.04806436 = product of:
          0.09612872 = sum of:
            0.09612872 = weight(_text_:22 in 1079) [ClassicSimilarity], result of:
              0.09612872 = score(doc=1079,freq=2.0), product of:
                0.17747006 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.050679237 = queryNorm
                0.5416616 = fieldWeight in 1079, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.109375 = fieldNorm(doc=1079)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    27. 1.2023 16:22:55
  4. Morris, V.: Automated language identification of bibliographic resources (2020) 0.01
    0.0137326745 = product of:
      0.027465349 = sum of:
        0.027465349 = product of:
          0.054930698 = sum of:
            0.054930698 = weight(_text_:22 in 5749) [ClassicSimilarity], result of:
              0.054930698 = score(doc=5749,freq=2.0), product of:
                0.17747006 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.050679237 = queryNorm
                0.30952093 = fieldWeight in 5749, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0625 = fieldNorm(doc=5749)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    2. 3.2020 19:04:22
  5. Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023) 0.01
    0.0137326745 = product of:
      0.027465349 = sum of:
        0.027465349 = product of:
          0.054930698 = sum of:
            0.054930698 = weight(_text_:22 in 835) [ClassicSimilarity], result of:
              0.054930698 = score(doc=835,freq=2.0), product of:
                0.17747006 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.050679237 = queryNorm
                0.30952093 = fieldWeight in 835, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0625 = fieldNorm(doc=835)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    29.12.2022 18:22:55
  6. Rieger, F.: Lügende Computer (2023) 0.01
    0.0137326745 = product of:
      0.027465349 = sum of:
        0.027465349 = product of:
          0.054930698 = sum of:
            0.054930698 = weight(_text_:22 in 912) [ClassicSimilarity], result of:
              0.054930698 = score(doc=912,freq=2.0), product of:
                0.17747006 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.050679237 = queryNorm
                0.30952093 = fieldWeight in 912, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0625 = fieldNorm(doc=912)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    16. 3.2023 19:22:55
  7. 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
    0.008582922 = product of:
      0.017165843 = sum of:
        0.017165843 = product of:
          0.034331687 = sum of:
            0.034331687 = weight(_text_:22 in 1171) [ClassicSimilarity], result of:
              0.034331687 = score(doc=1171,freq=2.0), product of:
                0.17747006 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.050679237 = 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)
      0.5 = coord(1/2)
    
    Date
    23.11.2023 19:07:22

Languages

Types