Search (145 results, page 1 of 8)

  • × theme_ss:"Computerlinguistik"
  • × type_ss:"a"
  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.07
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  2. Kuo, J.-S.; Li, H.; Yang, Y.-K.: Active learning for constructing transliteration lexicons from the Web (2008) 0.04
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  3. Toutanova, K.; Klein, D.; Manning, C.D.; Singer, Y.: Feature-rich Part-of-Speech Tagging with a cyclic dependency network (2003) 0.04
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  4. Al-Khatib, K.; Ghosa, T.; Hou, Y.; Waard, A. de; Freitag, D.: Argument mining for scholarly document processing : taking stock and looking ahead (2021) 0.04
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  5. Meng, K.; Ba, Z.; Ma, Y.; Li, G.: ¬A network coupling approach to detecting hierarchical linkages between science and technology (2024) 0.04
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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.
  6. Wright, S.E.: Leveraging terminology resources across application boundaries : accessing resources in future integrated environments (2000) 0.03
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    Abstract
    The title for this conference, stated in English, is Language Technology for a Dynamic Economy - y in the Media Age - The question arises as to what the media are we are dealing with and to what extent we are moving away from tile reality of different media to a world in which all sub-categories flow together into a unified stream of information that is constantly resealed to appear in different hardware configurations. A few years ago, people who were interested in sharing data or getting different electronic "boxes" to talk to each other were focused on two major aspects: I ) developing data conversion technology, and 2) convincing potential users that sharing information was an even remotely interesting option. Although some content "owners" are still reticent about releasing their data, it has become dramatically apparent in the Web environment that a broad range of users does indeed want this technology. Even as researchers struggle with the remaining technical, legal, and ethical impediments that stand in the way of unlimited information access to existing multi-platform resources, the future view of the world will no longer be as obsessed with conversion capability as it will be with creating content, with ,in eye to morphing technologies that will enable the delivery of that content from ail open-standards-based format such as XML (eXtensibic Markup Language), MPEG (Moving Picture Experts Group), or WAP (Wireless Application Protocol) to a rich variety of display Options
    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
  7. Sankarasubramaniam, Y.; Ramanathan, K.; Ghosh, S.: Text summarization using Wikipedia (2014) 0.03
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  8. Guthrie, L.; Pustejovsky, J.; Wilks, Y.; Slator, B.M.: ¬The role of lexicons in natural language processing (1996) 0.03
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  9. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.03
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  10. Kajanan, S.; Bao, Y.; Datta, A.; VanderMeer, D.; Dutta, K.: Efficient automatic search query formulation using phrase-level analysis (2014) 0.02
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  11. Ding, Y.; Chowdhury, G.C.; Foo, S.: Incorporating the results of co-word analyses to increase search variety for information retrieval (2000) 0.02
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  12. McKevitt, P.; Partridge, D.; Wilks, Y.: Why machines should analyse intention in natural language dialogue (1999) 0.02
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  13. Sienel, J.; Weiss, M.; Laube, M.: Sprachtechnologien für die Informationsgesellschaft des 21. Jahrhunderts (2000) 0.02
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    Date
    26.12.2000 13:22:17
    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. Heid, U.; Jauss, S.; Krüger, K.; Hohmann, A.: Term extraction with standard tools for corpus exploration : experience from German (1996) 0.02
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    Source
    TKE'96: Terminology and knowledge engineering. Proceedings 4th International Congress on Terminology and Knowledge Engineering, 26.-28.8.1996, Wien. Ed.: C. Galinski u. K.-D. Schmitz
  15. Kay, M.; Sparck Jones, K.: Automated language processing (1971) 0.02
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  16. Bernth, A.; McCord, M.; Warburton, K.: Terminology extraction for global content management (2003) 0.02
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  17. Lu, C.; Bu, Y.; Wang, J.; Ding, Y.; Torvik, V.; Schnaars, M.; Zhang, C.: Examining scientific writing styles from the perspective of linguistic complexity : a cross-level moderation model (2019) 0.02
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  18. Warner, A.J.: Natural language processing (1987) 0.02
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    Source
    Annual review of information science and technology. 22(1987), S.79-108
  19. Polity, Y.: Vers une ergonomie linguistique (1994) 0.02
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  20. Xianghao, G.; Yixin, Z.; Li, Y.: ¬A new method of news test understanding and abstracting based on speech acts theory (1998) 0.02
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Years

Languages

  • e 110
  • d 31
  • chi 2
  • f 2
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Types