Search (19 results, page 1 of 1)

  • × author_ss:"Croft, W.B."
  1. Turtle, H.; Croft, W.B.: Inference networks for document retrieval (1990) 0.00
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    Pages
    S.1-24
    Source
    Proceedings of the thirteenth international conference on research and development in information retrieval
  2. Croft, W.B.: Advances in information retrieval : Recent research from the Center for Intelligent Information Retrieval (2000) 0.00
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    Isbn
    0-7923-7812-1
    Series
    The Kluwer international series on information retrieval; 7
  3. Croft, W.B.: Combining approaches to information retrieval (2000) 0.00
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    Pages
    S.1-36
    Series
    The Kluwer international series on information retrieval; 7
  4. Croft, W.B.; Turtle, H.R.: Retrieval strategies for hypertext (1993) 0.00
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    Source
    Information processing and management. 29(1993) no.3, S.313-324
  5. Belkin, N.J.; Croft, W.B.: Retrieval techniques (1987) 0.00
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    Source
    Annual review of information science and technology. 22(1987), S.109-145
  6. Croft, W.B.; Thompson, R.H.: Support for browsing in an intelligent text retrieval system (1989) 0.00
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    Source
    International journal of man-machine studies. 30(1989), S.639-668
  7. Croft, W.B.: What do people want from information retrieval? (1997) 0.00
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    Imprint
    The Hague : International Federation for Information and Documentation (FID)
    Source
    From classification to 'knowledge organization': Dorking revisited or 'past is prelude'. A collection of reprints to commemorate the firty year span between the Dorking Conference (First International Study Conference on Classification Research 1957) and the Sixth International Study Conference on Classification Research (London 1997). Ed.: A. Gilchrist
  8. Belkin, N.J.; Croft, W.B.: Information filtering and information retrieval : two sides of the same coin? (1992) 0.00
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    Source
    Communications of the Association for Computing Machinery. 35(1992) no.12, S.29-38
  9. Allan, J.; Croft, W.B.; Callan, J.: ¬The University of Massachusetts and a dozen TRECs (2005) 0.00
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    Date
    29. 3.1996 18:16:49
  10. Ballesteros, L.; Croft, W.B.: Statistical methods for cross-language information retrieval (1998) 0.00
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    Series
    The Kluwer International series on information retrieval
  11. Liu, X.; Croft, W.B.: Cluster-based retrieval using language models (2004) 0.00
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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
  12. Allan, J.; Callan, J.P.; Croft, W.B.; Ballesteros, L.; Broglio, J.; Xu, J.; Shu, H.: INQUERY at TREC-5 (1997) 0.00
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    Date
    27. 2.1999 20:55:22
  13. Jing, Y.; Croft, W.B.: ¬An association thesaurus for information retrieval (199?) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  14. Xu, J.; Croft, W.B.: Topic-based language models for distributed retrieval (2000) 0.00
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    Series
    The Kluwer international series on information retrieval; 7
  15. Shneiderman, B.; Byrd, D.; Croft, W.B.: Clarifying search : a user-interface framework for text searches (1997) 0.00
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    Source
    D-Lib magazine. 3(1997) no.1, xx S
  16. Luk, R.W.P.; Leong, H.V.; Dillon, T.S.; Chan, A.T.S.; Croft, W.B.; Allen, J.: ¬A survey in indexing and searching XML documents (2002) 0.00
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    Abstract
    XML holds the promise to yield (1) a more precise search by providing additional information in the elements, (2) a better integrated search of documents from heterogeneous sources, (3) a powerful search paradigm using structural as well as content specifications, and (4) data and information exchange to share resources and to support cooperative search. We survey several indexing techniques for XML documents, grouping them into flatfile, semistructured, and structured indexing paradigms. Searching techniques and supporting techniques for searching are reviewed, including full text search and multistage search. Because searching XML documents can be very flexible, various search result presentations are discussed, as well as database and information retrieval system integration and XML query languages. We also survey various retrieval models, examining how they would be used or extended for retrieving XML documents. To conclude the article, we discuss various open issues that XML poses with respect to information retrieval and database research.
  17. Murdock, V.; Kelly, D.; Croft, W.B.; Belkin, N.J.; Yuan, X.: Identifying and improving retrieval for procedural questions (2007) 0.00
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    Source
    Information processing and management. 43(2007) no.1, S.181-203
  18. Xiaoyan Li, X.; Croft, W.B.: ¬An information-pattern-based approach to novelty detection (2008) 0.00
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    Date
    1. 8.2008 11:35:04
  19. Kim, Y.; Seo, J.; Croft, W.B.; Smith, D.A.: Automatic suggestion of phrasal-concept queries for literature search (2014) 0.00
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    Abstract
    Both general and domain-specific search engines have adopted query suggestion techniques to help users formulate effective queries. In the specific domain of literature search (e.g., finding academic papers), the initial queries are usually based on a draft paper or abstract, rather than short lists of keywords. In this paper, we investigate phrasal-concept query suggestions for literature search. These suggestions explicitly specify important phrasal concepts related to an initial detailed query. The merits of phrasal-concept query suggestions for this domain are their readability and retrieval effectiveness: (1) phrasal concepts are natural for academic authors because of their frequent use of terminology and subject-specific phrases and (2) academic papers describe their key ideas via these subject-specific phrases, and thus phrasal concepts can be used effectively to find those papers. We propose a novel phrasal-concept query suggestion technique that generates queries by identifying key phrasal-concepts from pseudo-labeled documents and combines them with related phrases. Our proposed technique is evaluated in terms of both user preference and retrieval effectiveness. We conduct user experiments to verify a preference for our approach, in comparison to baseline query suggestion methods, and demonstrate the effectiveness of the technique with retrieval experiments.