Search (574 results, page 29 of 29)

  • × theme_ss:"Computerlinguistik"
  1. Bird, S.; Dale, R.; Dorr, B.; Gibson, B.; Joseph, M.; Kan, M.-Y.; Lee, D.; Powley, B.; Radev, D.; Tan, Y.F.: ¬The ACL Anthology Reference Corpus : a reference dataset for bibliographic research in computational linguistics (2008) 0.00 
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  2. Belbachir, F.; Boughanem, M.: Using language models to improve opinion detection (2018) 0.00 
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  3. Azpiazu, I.M.; Soledad Pera, M.: Is cross-lingual readability assessment possible? (2020) 0.00 
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  4. Bowker, L.; Ciro, J.B.: Machine translation and global research : towards improved machine translation literacy in the scholarly community (2019) 0.00 
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  5. Pepper, S.: ¬The typology and semantics of binominal lexemes : noun-noun compounds and their functional equivalents (2020) 0.00 
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  6. SIGIR'92 : Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (1992) 0.00 
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  7. Working with conceptual structures : contributions to ICCS 2000. 8th International Conference on Conceptual Structures: Logical, Linguistic, and Computational Issues. Darmstadt, August 14-18, 2000 (2000) 0.00 
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  8. Jones, I.; Cunliffe, D.; Tudhope, D.: Natural language processing and knowledge organization systems as an aid to retrieval (2004) 0.00 
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  9. Needham, R.M.; Sparck Jones, K.: Keywords and clumps (1985) 0.00 
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  10. Witschel, H.F.: Global and local resources for peer-to-peer text retrieval (2008) 0.00 
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    Abstract
    This thesis is organised as follows: Chapter 2 gives a general introduction to the field of information retrieval, covering its most important aspects. Further, the tasks of distributed and peer-to-peer information retrieval (P2PIR) are introduced, motivating their application and characterising the special challenges that they involve, including a review of existing architectures and search protocols in P2PIR. Finally, chapter 2 presents approaches to evaluating the e ectiveness of both traditional and peer-to-peer IR systems. Chapter 3 contains a detailed account of state-of-the-art information retrieval models and algorithms. This encompasses models for matching queries against document representations, term weighting algorithms, approaches to feedback and associative retrieval as well as distributed retrieval. It thus defines important terminology for the following chapters. The notion of "multi-level association graphs" (MLAGs) is introduced in chapter 4. An MLAG is a simple, graph-based framework that allows to model most of the theoretical and practical approaches to IR presented in chapter 3. Moreover, it provides an easy-to-grasp way of defining and including new entities into IR modeling, such as paragraphs or peers, dividing them conceptually while at the same time connecting them to each other in a meaningful way. This allows for a unified view on many IR tasks, including that of distributed and peer-to-peer search. Starting from related work and a formal defiition of the framework, the possibilities of modeling that it provides are discussed in detail, followed by an experimental section that shows how new insights gained from modeling inside the framework can lead to novel combinations of principles and eventually to improved retrieval effectiveness.
  11. Nagy T., I.: Detecting multiword expressions and named entities in natural language texts (2014) 0.00 
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  12. Jha, A.: Why GPT-4 isn't all it's cracked up to be (2023) 0.00 
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  13. Conceptual structures : logical, linguistic, and computational issues. 8th International Conference on Conceptual Structures, ICCS 2000, Darmstadt, Germany, August 14-18, 2000 (2000) 0.00 
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  14. Information und Sprache : Beiträge zu Informationswissenschaft, Computerlinguistik, Bibliothekswesen und verwandten Fächern. Festschrift für Harald H. Zimmermann. Herausgegeben von Ilse Harms, Heinz-Dirk Luckhardt und Hans W. Giessen (2006) 0.00 
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    Footnote
    Mit automatischer Indexierung beschäftigen sich auch zwei weitere Beiträge. Indexieren mit AUTINDEX von H.-D. Mass (Saarbrücken) ist leider knapp und ohne didaktische Ambition verfasst, sodass man sich nicht wirklich vorstellen kann, wie dieses System funktioniert. Übersichtlicher stellt sich der Werkstattbericht Automatische Indexierung des Reallexikons zur deutschen Kunstgeschichte von K. Lepsky (Köln) dar, der zeigt, welche Probleme und Schritte bei der Digitalisierung, Indexierung und Web-Präsentation der Volltexte eines grossen fachlichen Nachschlagewerkes anfallen. Weitere interessante Beiträge befassen sich z.B. mit Summarizing-Leistungen im Rahmen eines e-Learning-Projektes (R. Kuhlen), mit dem Schalenmodell und dem Semantischen Web (J. Krause; aus nicht näher dargelegten Gründen in englischer Sprache) und mit der Akkreditierung/ Evaluierung von Hochschullehre und -forschung in Großbritannien (T. Seeger). In Summe liegt hier eine würdige Festschrift vor, über die sich der Gefeierte sicherlich gefreut haben wird. Für informationswissenschaftliche Spezialsammlungen und größere Bibliotheken ist der Band allemal eine Bereicherung. Ein Wermutstropfen aber doch: Obzwar mit Information und Sprache ein optisch ansprechend gestaltetes Buch produziert wurde, enthüllt eine nähere Betrachtung leider allzu viele Druckfehler, mangelhafte Worttrennungen, unkorrigierte grammatikalische Fehler, sowie auch Inkonsistenzen bei Kursivdruck und Satzzeichen. Lektoren und Korrektoren sind, so muss man wieder einmal schmerzlich zur Kenntnis nehmen, ein aussterbender Berufsstand."

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