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  1. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.07
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    Abstract
    The successes of information retrieval (IR) in recent decades were built upon bag-of-words representations. Effective as it is, bag-of-words is only a shallow text understanding; there is a limited amount of information for document ranking in the word space. This dissertation goes beyond words and builds knowledge based text representations, which embed the external and carefully curated information from knowledge bases, and provide richer and structured evidence for more advanced information retrieval systems. This thesis research first builds query representations with entities associated with the query. Entities' descriptions are used by query expansion techniques that enrich the query with explanation terms. Then we present a general framework that represents a query with entities that appear in the query, are retrieved by the query, or frequently show up in the top retrieved documents. A latent space model is developed to jointly learn the connections from query to entities and the ranking of documents, modeling the external evidence from knowledge bases and internal ranking features cooperatively. To further improve the quality of relevant entities, a defining factor of our query representations, we introduce learning to rank to entity search and retrieve better entities from knowledge bases. In the document representation part, this thesis research also moves one step forward with a bag-of-entities model, in which documents are represented by their automatic entity annotations, and the ranking is performed in the entity space.
    This proposal includes plans to improve the quality of relevant entities with a co-learning framework that learns from both entity labels and document labels. We also plan to develop a hybrid ranking system that combines word based and entity based representations together with their uncertainties considered. At last, we plan to enrich the text representations with connections between entities. We propose several ways to infer entity graph representations for texts, and to rank documents using their structure representations. This dissertation overcomes the limitation of word based representations with external and carefully curated information from knowledge bases. We believe this thesis research is a solid start towards the new generation of intelligent, semantic, and structured information retrieval.
    Content
    Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.
  2. Building information infrastructure : issues in the development of the National Research and Education Network (1992) 0.07
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    Date
    1. 3.2008 12:42:22
  3. Recker, I.; Ronthaler, M.; Zillmann, H.: OSIRIS - Osnabrück Intelligent Research Information System : ein Hyperbase Front End System für OPACs (1996) 0.07
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    Date
    22. 4.1996 20:07:57
  4. Davis, C.: Some experiences of an Internet researcher (1996) 0.07
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    Abstract
    Reports work as an independent Internet researcher in the field of library research in the USA
    Source
    Audiovisual librarian. 22(1996) no.2, A.112-113
  5. Barden, B.R.; Denison, B.: Guide to the SLA loan collection of classification schemes and subject heading lists on deposit at Western Reserve Univ. as of March 20, 1961 (1961) 0.07
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    Footnote
    Rez. in: College and research libraries 22(1961) no.6, S.483-484 (A.R. Lindsay)
  6. Multimedia information resources (1997) 0.07
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    Date
    31.12.1998 22:05:21
    Footnote
    Rez. in: Australian academic and research libraries 29(1998) no.1, S.68 (B. Collins)
  7. McIlvaine, E.: Selected reference books of 1998-1999 (1999) 0.07
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    Date
    29.12.1999 13:22:36
    Source
    College and research libraries. 60(1999) no.5, S.479-491
  8. Carey, K.; Stringer, R.: ¬The power of nine : a preliminary investigation into navigation strategies for the new library with special reference to disabled people (2000) 0.07
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    Pages
    22 S
    Series
    British Library: Library and Information Commission research report; 74
  9. Subramanian, S.; Shafer, K.E.: Clustering (2001) 0.07
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    Date
    5. 5.2003 14:17:22
    Footnote
    Teil eines Themenheftes: OCLC and the Internet: An Historical Overview of Research Activities, 1990-1999 - Part II
  10. Qin, J.; Paling, S.: Converting a controlled vocabulary into an ontology : the case of GEM (2001) 0.07
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    Date
    24. 8.2005 19:20:22
    Source
    Information Research. 6(2001), no.2
  11. Zhang, L.; Pan, Y.; Zhang, T.: Focused named entity recognition using machine learning (2004) 0.07
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    Date
    15.10.2005 19:57:22
    Source
    SIGIR'04: Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval. Ed.: K. Järvelin, u.a
  12. Shaw, R.; Golden, P.; Buckland, M.: Using linked library data in working research notes (2015) 0.07
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    Date
    15. 1.2016 19:22:28
  13. Bursa, O. et al.: Enriching preferences using DBpedia and Wordnet (2016) 0.07
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    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  14. Ceynowa, K.: Research Library Reloaded? : Überlegungen zur Zukunft der geisteswissenschaftlichen Forschungsbibliothek (2018) 0.07
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    Date
    1. 2.2019 12:50:22
  15. #220 0.07
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    Date
    22. 5.1998 20:02:22
  16. #1387 0.07
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    Date
    22. 5.1998 20:02:22
  17. #2103 0.07
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    Date
    22. 5.1998 20:02:22
  18. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.07
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    Source
    http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
  19. Hatano, H.: ¬The image processing and database system in the National Museum of Western Art, Tokyo : an integrated system for art research (1996) 0.07
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    Abstract
    Describes a 4 year project started in 1994 to assemble and test a system utilizing machine readable thesauri and classification systems developed in Western countries in order to facilitate research into Western art
    Source
    Art libraries journal. 21(1996) no.1, S.18-22
  20. Biebricher, N.; Fuhr, N.; Lustig, G.; Schwantner, M.; Knorz, G.: ¬The automatic indexing system AIR/PHYS : from research to application (1988) 0.07
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    Date
    16. 8.1998 12:51:22
    Source
    Proceedings of the 11th annual conference on research and development in information retrieval. Ed.: Y. Chiaramella

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