Search (2 results, page 1 of 1)

  • × theme_ss:"Computerlinguistik"
  • × theme_ss:"Wissensrepräsentation"
  • × type_ss:"a"
  1. Pepper, S.; Arnaud, P.J.L.: Absolutely PHAB : toward a general model of associative relations (2020) 0.00
    0.004806533 = product of:
      0.03364573 = sum of:
        0.016822865 = weight(_text_:classification in 103) [ClassicSimilarity], result of:
          0.016822865 = score(doc=103,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.17593184 = fieldWeight in 103, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=103)
        0.016822865 = weight(_text_:classification in 103) [ClassicSimilarity], result of:
          0.016822865 = score(doc=103,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.17593184 = fieldWeight in 103, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=103)
      0.14285715 = coord(2/14)
    
    Abstract
    There have been many attempts at classifying the semantic modification relations (R) of N + N compounds but this work has not led to the acceptance of a definitive scheme, so that devising a reusable classification is a worthwhile aim. The scope of this undertaking is extended to other binominal lexemes, i.e. units that contain two thing-morphemes without explicitly stating R, like prepositional units, N + relational adjective units, etc. The 25-relation taxonomy of Bourque (2014) was tested against over 15,000 binominal lexemes from 106 languages and extended to a 29-relation scheme ("Bourque2") through the introduction of two new reversible relations. Bourque2 is then mapped onto Hatcher's (1960) four-relation scheme (extended by the addition of a fifth relation, similarity , as "Hatcher2"). This results in a two-tier system usable at different degrees of granularities. On account of its semantic proximity to compounding, metonymy is then taken into account, following Janda's (2011) suggestion that it plays a role in word formation; Peirsman and Geeraerts' (2006) inventory of 23 metonymic patterns is mapped onto Bourque2, confirming the identity of metonymic and binominal modification relations. Finally, Blank's (2003) and Koch's (2001) work on lexical semantics justifies the addition to the scheme of a third, superordinate level which comprises the three Aristotelean principles of similarity, contiguity and contrast.
  2. Collard, J.; Paiva, V. de; Fong, B.; Subrahmanian, E.: Extracting mathematical concepts from text (2022) 0.00
    0.0024926048 = product of:
      0.034896467 = sum of:
        0.034896467 = product of:
          0.069792934 = sum of:
            0.069792934 = weight(_text_:texts in 668) [ClassicSimilarity], result of:
              0.069792934 = score(doc=668,freq=2.0), product of:
                0.16460659 = queryWeight, product of:
                  5.4822793 = idf(docFreq=499, maxDocs=44218)
                  0.03002521 = queryNorm
                0.42399842 = fieldWeight in 668, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  5.4822793 = idf(docFreq=499, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=668)
          0.5 = coord(1/2)
      0.071428575 = coord(1/14)
    
    Abstract
    We investigate different systems for extracting mathematical entities from English texts in the mathematical field of category theory as a first step for constructing a mathematical knowledge graph. We consider four different term extractors and compare their results. This small experiment showcases some of the issues with the construction and evaluation of terms extracted from noisy domain text. We also make available two open corpora in research mathematics, in particular in category theory: a small corpus of 755 abstracts from the journal TAC (3188 sentences), and a larger corpus from the nLab community wiki (15,000 sentences).