Search (138 results, page 2 of 7)

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  1. Porter, M.F.: ¬An algorithm for suffix stripping (1980) 0.02
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.313-316.
  2. Chieu, H.L.; Lee, Y.K.: Query based event extraction along a timeline (2004) 0.02
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    Source
    SIGIR'04: Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval. Ed.: K. Järvelin, u.a
  3. Roose, K.: ¬The brilliance and weirdness of ChatGPT (2022) 0.02
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  4. Vlachidis, A.; Binding, C.; Tudhope, D.; May, K.: Excavating grey literature : a case study on the rich indexing of archaeological documents via natural language-processing techniques and knowledge-based resources (2010) 0.02
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    Date
    29. 8.2010 12:03:40
  5. Sparck Jones, K.: Synonymy and semantic classification (1986) 0.02
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  6. Tenopir, C.; Cahn, P.: TARGET & FREESTYLE : DIALOG and Mead join the relevance ranks (1994) 0.02
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.446-456.
  7. Zhang, H.J.; Low, C.Y.; Smoliar, S.W.; Lu. J.H.: Video parsing, retrieval and browsing : an integrated and content-based solution (1995) 0.02
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.503-512
  8. Strzalkowski, T.: Robust text processing in automated information retrieval (1994) 0.02
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.317-322.
  9. Hayes, P.J.; Knecht, L.E.; Cellio, M.J.: ¬A news story categorization system (1988) 0.02
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.518-526
  10. Xu, J.; Weischedel, R.; Licuanan, A.: Evaluation of an extraction-based approach to answering definitional questions (2004) 0.02
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    Source
    SIGIR'04: Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval. Ed.: K. Järvelin, u.a
  11. Kocijan, K.: Visualizing natural language resources (2015) 0.02
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  12. Melby, A.: Some notes on 'The proper place of men and machines in language translation' (1997) 0.02
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    Date
    31. 7.1996 9:22:19
    Source
    Machine translation. 12(1997) nos.1/2, S.29-34
  13. Jaaranen, K.; Lehtola, A.; Tenni, J.; Bounsaythip, C.: Webtran tools for in-company language support (2000) 0.02
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    Source
    Sprachtechnologie für eine dynamische Wirtschaft im Medienzeitalter - Language technologies for dynamic business in the age of the media - L'ingénierie linguistique au service de la dynamisation économique à l'ère du multimédia: Tagungsakten der XXVI. Jahrestagung der Internationalen Vereinigung Sprache und Wirtschaft e.V., 23.-25.11.2000, Fachhochschule Köln. Hrsg.: K.-D. Schmitz
  14. Meng, K.; Ba, Z.; Ma, Y.; Li, G.: ¬A network coupling approach to detecting hierarchical linkages between science and technology (2024) 0.02
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    Abstract
    Detecting science-technology hierarchical linkages is beneficial for understanding deep interactions between science and technology (S&T). Previous studies have mainly focused on linear linkages between S&T but ignored their structural linkages. In this paper, we propose a network coupling approach to inspect hierarchical interactions of S&T by integrating their knowledge linkages and structural linkages. S&T knowledge networks are first enhanced with bidirectional encoder representation from transformers (BERT) knowledge alignment, and then their hierarchical structures are identified based on K-core decomposition. Hierarchical coupling preferences and strengths of the S&T networks over time are further calculated based on similarities of coupling nodes' degree distribution and similarities of coupling edges' weight distribution. Extensive experimental results indicate that our approach is feasible and robust in identifying the coupling hierarchy with superior performance compared to other isomorphism and dissimilarity algorithms. Our research extends the mindset of S&T linkage measurement by identifying patterns and paths of the interaction of S&T hierarchical knowledge.
  15. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.02
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  16. Owei, V.; Higa, K.: ¬A paradigm for natural language explanation of database queries : a semantic data model approach (1994) 0.01
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  17. Robertson, S.E.; Sparck Jones, K.: Relevance weighting of search terms (1976) 0.01
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  18. Lewis, D.D.; Sparck Jones, K.: Natural language processing for information retrieval (1997) 0.01
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  19. Doszkocs, T.E.; Zamora, A.: Dictionary services and spelling aids for Web searching (2004) 0.01
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    Date
    14. 8.2004 17:22:56
    Source
    Online. 28(2004) no.3, S.22-29
  20. Kettunen, K.; Kunttu, T.; Järvelin, K.: To stem or lemmatize a highly inflectional language in a probabilistic IR environment? (2005) 0.01
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