Search (94 results, page 1 of 5)

  • × theme_ss:"Computerlinguistik"
  • × type_ss:"a"
  • × year_i:[2010 TO 2020}
  1. Lawrie, D.; Mayfield, J.; McNamee, P.; Oard, P.W.: Cross-language person-entity linking from 20 languages (2015) 0.02
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    Abstract
    The goal of entity linking is to associate references to an entity that is found in unstructured natural language content to an authoritative inventory of known entities. This article describes the construction of 6 test collections for cross-language person-entity linking that together span 22 languages. Fully automated components were used together with 2 crowdsourced validation stages to affordably generate ground-truth annotations with an accuracy comparable to that of a completely manual process. The resulting test collections each contain between 642 (Arabic) and 2,361 (Romanian) person references in non-English texts for which the correct resolution in English Wikipedia is known, plus a similar number of references for which no correct resolution into English Wikipedia is believed to exist. Fully automated cross-language person-name linking experiments with 20 non-English languages yielded a resolution accuracy of between 0.84 (Serbian) and 0.98 (Romanian), which compares favorably with previously reported cross-language entity linking results for Spanish.
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.6, S.1106-1123
  2. Fóris, A.: Network theory and terminology (2013) 0.02
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    Abstract
    The paper aims to present the relations of network theory and terminology. The model of scale-free networks, which has been recently developed and widely applied since, can be effectively used in terminology research as well. Operation based on the principle of networks is a universal characteristic of complex systems. Networks are governed by general laws. The model of scale-free networks can be viewed as a statistical-probability model, and it can be described with mathematical tools. Its main feature is that "everything is connected to everything else," that is, every node is reachable (in a few steps) starting from any other node; this phenomena is called "the small world phenomenon." The existence of a linguistic network and the general laws of the operation of networks enable us to place issues of language use in the complex system of relations that reveal the deeper connection s between phenomena with the help of networks embedded in each other. The realization of the metaphor that language also has a network structure is the basis of the classification methods of the terminological system, and likewise of the ways of creating terminology databases, which serve the purpose of providing easy and versatile accessibility to specialised knowledge.
    Date
    2. 9.2014 21:22:48
    Source
    Knowledge organization. 40(2013) no.6, S.424-429
  3. Rötzer, F.: KI-Programm besser als Menschen im Verständnis natürlicher Sprache (2018) 0.01
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    Date
    22. 1.2018 11:32:44
  4. Rettinger, A.; Schumilin, A.; Thoma, S.; Ell, B.: Learning a cross-lingual semantic representation of relations expressed in text (2015) 0.00
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    Pages
    S.337-352
  5. Engerer, V.: Informationswissenschaft und Linguistik. : kurze Geschichte eines fruchtbaren interdisziplinäaren Verhäaltnisses in drei Akten (2012) 0.00
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    Source
    SDV - Sprache und Datenverarbeitung. International journal for language data processing. 36(2012) H.2, S.71-91 [= E-Books - Fakten, Perspektiven und Szenarien] 36/2 (2012), S. 71-91
  6. Rayson, P.; Piao, S.; Sharoff, S.; Evert, S.; Moiron, B.V.: Multiword expressions : hard going or plain sailing? (2015) 0.00
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    Source
    Language resources and evaluation. 44(2010) no.1, S.1-5
  7. Sünkler, S.; Kerkmann, F.; Schultheiß, S.: Ok Google . the end of search as we know it : sprachgesteuerte Websuche im Test (2018) 0.00
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    Source
    B.I.T.online. 21(2018) H.1, S.25-32
  8. Engerer, V.: Indexierungstheorie für Linguisten : zu einigen natürlichsprachlichen Zügen in künstlichen Indexsprachen (2014) 0.00
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    Pages
    S.61-74
  9. Hahn, U.: Methodische Grundlagen der Informationslinguistik (2013) 0.00
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    Pages
    S.251-271
  10. Kocijan, K.: Visualizing natural language resources (2015) 0.00
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    Pages
    S.203-216
  11. Wolfangel, E.: Ich verstehe (2017) 0.00
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    Source
    ¬Die Rheinpfalz am Sonntag. 26.11.2017, S.17
  12. Szpakowicz, S.; Bond, F.; Nakov, P.; Kim, S.N.: On the semantics of noun compounds (2013) 0.00
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    Source
    Natural language engineering. 2013, April, S.1-2
  13. Stoykova, V.; Petkova, E.: Automatic extraction of mathematical terms for precalculus (2012) 0.00
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    Abstract
    In this work, we present the results of research for evaluating a methodology for extracting mathematical terms for precalculus using the techniques for semantically-oriented statistical search. We use the corpus-based approach and the combination of different statistically-based techniques for extracting keywords, collocations and co-occurrences incorporated in the Sketch Engine software. We evaluate the collocations candidate terms for the basic concept function(s) and approve the related methodology by precalculus domain conceptual terms definitions. Finally, we offer a conceptual terms hierarchical representation and discuss the results with respect to their possible applications.
    Source
    Procedia Technology. 1(2012), S.464-468
  14. Levin, M.; Krawczyk, S.; Bethard, S.; Jurafsky, D.: Citation-based bootstrapping for large-scale author disambiguation (2012) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.5, S.1030-1047
  15. Rajasurya, S.; Muralidharan, T.; Devi, S.; Swamynathan, S.: Semantic information retrieval using ontology in university domain (2012) 0.00
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  16. Gill, A.J.; Hinrichs-Krapels, S.; Blanke, T.; Grant, J.; Hedges, M.; Tanner, S.: Insight workflow : systematically combining human and computational methods to explore textual data (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.7, S.1671-1686
  17. Al-Shawakfa, E.; Al-Badarneh, A.; Shatnawi, S.; Al-Rabab'ah, K.; Bani-Ismail, B.: ¬A comparison study of some Arabic root finding algorithms (2010) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.5, S.1015-1024
  18. Muresan, S.; Klavans, J.L.: Inducing terminologies from text : a case study for the consumer health domain (2013) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.4, S.727-744
  19. Kim, S.; Ko, Y.; Oard, D.W.: Combining lexical and statistical translation evidence for cross-language information retrieval (2015) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.1, S.23-39
  20. Clark, M.; Kim, Y.; Kruschwitz, U.; Song, D.; Albakour, D.; Dignum, S.; Beresi, U.C.; Fasli, M.; Roeck, A De: Automatically structuring domain knowledge from text : an overview of current research (2012) 0.00
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    Source
    Information processing and management. 48(2012) no.3, S.552-568

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