Search (46 results, page 1 of 3)

  • × theme_ss:"Computerlinguistik"
  • × year_i:[2010 TO 2020}
  1. Snajder, J.: Distributional semantics of multi-word expressions (2013) 0.03
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    Content
    Folien einer Präsentation anlässlich COST Action IC1207 PARSEME Meeting, Warsaw, September 16, 2013. Vgl. den Beitrag: Snajder, J., P. Almic: Modeling semantic compositionality of Croatian multiword expressions. In: Informatica. 39(2015) H.3, S.301-309.
  2. Ludwig, B.; Reischer, J.: Informationslinguistik in Regensburg (2012) 0.03
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    Content
    Vgl.: http://www.degruyter.com/view/j/iwp.2012.63.issue-5/iwp-2012-0065/iwp-2012-0065.xml?format=INT.
    Source
    Information - Wissenschaft und Praxis. 63(2012) H.5, S.292-296
  3. 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.
  4. Wu, H.; He, J.; Pei, Y.: Scientific impact at the topic level : a case study in computational linguistics (2010) 0.02
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  5. Korman, D.Z.; Mack, E.; Jett, J.; Renear, A.H.: Defining textual entailment (2018) 0.02
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    Abstract
    Textual entailment is a relationship that obtains between fragments of text when one fragment in some sense implies the other fragment. The automation of textual entailment recognition supports a wide variety of text-based tasks, including information retrieval, information extraction, question answering, text summarization, and machine translation. Much ingenuity has been devoted to developing algorithms for identifying textual entailments, but relatively little to saying what textual entailment actually is. This article is a review of the logical and philosophical issues involved in providing an adequate definition of textual entailment. We show that many natural definitions of textual entailment are refuted by counterexamples, including the most widely cited definition of Dagan et al. We then articulate and defend the following revised definition: T textually entails H?=?df typically, a human reading T would be justified in inferring the proposition expressed by H from the proposition expressed by T. We also show that textual entailment is context-sensitive, nontransitive, and nonmonotonic.
  6. Endres-Niggemeyer, B.: Thinkie: Lautes Denken mit Spracherkennung (mobil) (2013) 0.02
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    Content
    Vgl.: http://www.degruyter.com/view/j/iwp.2013.64.issue-6/iwp-2013-004/iwp-2013-004.xml?format=INT.
    Source
    Information - Wissenschaft und Praxis. 64(2013) H.6, S.311-322
  7. Snajder, J.; Almic, P.: Modeling semantic compositionality of Croatian multiword expressions (2015) 0.02
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    Source
    Informatica. 39(2015) H.3, S.301-309
  8. Lezius, W.: Morphy - Morphologie und Tagging für das Deutsche (2013) 0.01
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    Date
    22. 3.2015 9:30:24
  9. Becks, D.; Schulz, J.M.: Domänenübergreifende Phrasenextraktion mithilfe einer lexikonunabhängigen Analysekomponente (2010) 0.01
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    Source
    Information und Wissen: global, sozial und frei? Proceedings des 12. Internationalen Symposiums für Informationswissenschaft (ISI 2011) ; Hildesheim, 9. - 11. März 2011. Hrsg.: J. Griesbaum, T. Mandl u. C. Womser-Hacker
  10. Soo, J.; Frieder, O.: On searching misspelled collections (2015) 0.01
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  11. Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012) 0.01
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    Date
    10. 1.2013 19:22:47
  12. Schmolz, H.: Anaphora resolution and text retrieval : a lnguistic analysis of hypertexts (2015) 0.01
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  13. Schmolz, H.: Anaphora resolution and text retrieval : a lnguistic analysis of hypertexts (2013) 0.01
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  14. Engerer, V.: Informationswissenschaft und Linguistik. : kurze Geschichte eines fruchtbaren interdisziplinäaren Verhäaltnisses in drei Akten (2012) 0.01
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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
  15. Fóris, A.: Network theory and terminology (2013) 0.01
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    Date
    2. 9.2014 21:22:48
  16. Dolamic, L.; Savoy, J.: Retrieval effectiveness of machine translated queries (2010) 0.01
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  17. Panicheva, P.; Cardiff, J.; Rosso, P.: Identifying subjective statements in news titles using a personal sense annotation framework (2013) 0.01
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  18. Perovsek, M.; Kranjca, J.; Erjaveca, T.; Cestnika, B.; Lavraca, N.: TextFlows : a visual programming platform for text mining and natural language processing (2016) 0.01
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  19. Li, N.; Sun, J.: Improving Chinese term association from the linguistic perspective (2017) 0.01
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Languages

  • e 30
  • d 15

Types

  • a 36
  • el 8
  • x 4
  • m 2
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