-
Croft, W.B.: Knowledge-based and statistical approaches to text retrieval (1993)
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- Source
- IEEE expert intelligent systems and their applications. 8(1993) no.2, S.8-12
-
Croft, W.B.: Hypertext and information retrieval : what are the fundamental concepts? (1990)
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- Source
- Hypertext: concepts, systems and applications: Proceedings of the First European Conference on Hypertext, INRIA, France, Nov. 1990. Ed.: N. Streitz et al
-
Croft, W.B.; Thompson, R.H.: I3R: a new approach to the desing of document retrieval systems (1987)
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- Source
- Journal of the American Society for Information Science. 38(1987), S.389-404
-
Belkin, N.J.; Croft, W.B.: Retrieval techniques (1987)
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- Source
- Annual review of information science and technology. 22(1987), S.109-145
-
Croft, W.B.: Effective retrieval based on combining evidence from the corpus and users (1995)
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- Abstract
- Inquery is a text retrieval system that is the basis of a number of WWW applications, including the Thomas system supported by the Library of Congress. Surveys the representation, query processing, and retrieval techniques used in the system. By combining evidence about relevance from the corpus, individual documents, and users, Inquery achieves effective overall recall and precision evaluation while avoiding occasional major failures
-
Liu, X.; Croft, W.B.: Statistical language modeling for information retrieval (2004)
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- Abstract
- This chapter reviews research and applications in statistical language modeling for information retrieval (IR), which has emerged within the past several years as a new probabilistic framework for describing information retrieval processes. Generally speaking, statistical language modeling, or more simply language modeling (LM), involves estimating a probability distribution that captures statistical regularities of natural language use. Applied to information retrieval, language modeling refers to the problem of estimating the likelihood that a query and a document could have been generated by the same language model, given the language model of the document either with or without a language model of the query. The roots of statistical language modeling date to the beginning of the twentieth century when Markov tried to model letter sequences in works of Russian literature (Manning & Schütze, 1999). Zipf (1929, 1932, 1949, 1965) studied the statistical properties of text and discovered that the frequency of works decays as a Power function of each works rank. However, it was Shannon's (1951) work that inspired later research in this area. In 1951, eager to explore the applications of his newly founded information theory to human language, Shannon used a prediction game involving n-grams to investigate the information content of English text. He evaluated n-gram models' performance by comparing their crossentropy an texts with the true entropy estimated using predictions made by human subjects. For many years, statistical language models have been used primarily for automatic speech recognition. Since 1980, when the first significant language model was proposed (Rosenfeld, 2000), statistical language modeling has become a fundamental component of speech recognition, machine translation, and spelling correction.
- Source
- Annual review of information science and technology. 39(2005), S.3-32
-
Croft, W.B.: What do people want from information retrieval? : the top 10 research issues for companies that use and sell IR systems (1995)
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-
Croft, W.B.; Turtle, H.R.: Retrieval strategies for hypertext (1993)
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- Source
- Information processing and management. 29(1993) no.3, S.313-324
-
Croft, W.B.: Advances in information retrieval : Recent research from the Center for Intelligent Information Retrieval (2000)
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- LCSH
- Multimedia systems
- Subject
- Multimedia systems
-
Belkin, N.J.; Croft, W.B.: Information filtering and information retrieval : two sides of the same coin? (1992)
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- Source
- Communications of the Association for Computing Machinery. 35(1992) no.12, S.29-38
-
Allan, J.; Croft, W.B.; Callan, J.: ¬The University of Massachusetts and a dozen TRECs (2005)
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- Date
- 29. 3.1996 18:16:49
-
Krovetz, R.; Croft, W.B.: Lexical ambiguity and information retrieval (1992)
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- Source
- ACM transactions on information systems. 10(1992) no.2, S.115-141
-
Jing, Y.; Croft, W.B.: ¬An association thesaurus for information retrieval (199?)
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- Abstract
- Although commonly used in both commercial and experimental information retrieval systems, thesauri have not demonstrated consistent benefits for retrieval performance, and it is difficult to construct a thesaurus automatically for large text databases. In this paper, an approach, called PhraseFinder, is proposed to construct collection-dependent association thesauri automatically using large full-text document collections. The association thesaurus can be accessed through natural language queries in INQUERY, an information retrieval system based on the probabilistic inference network. Experiments are conducted in INQUERY to evaluate different types of association thesauri, and thesauri constructed for a variety of collections
-
Allan, J.; Callan, J.P.; Croft, W.B.; Ballesteros, L.; Broglio, J.; Xu, J.; Shu, H.: INQUERY at TREC-5 (1997)
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- Date
- 27. 2.1999 20:55:22
-
Croft, W.B.: Clustering large files of documents using the single link method (1977)
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- Source
- Journal of the American Society for Information Science. 28(1977), S.341-344
-
Croft, W.B.; Metzler, D.; Strohman, T.: Search engines : information retrieval in practice (2010)
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- Abstract
- For introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice, is designed to give undergraduate students the understanding and tools they need to evaluate, compare and modify search engines. Coverage of the underlying IR and mathematical models reinforce key concepts. The book's numerous programming exercises make extensive use of Galago, a Java-based open source search engine. SUPPLEMENTS / Extensive lecture slides (in PDF and PPT format) / Solutions to selected end of chapter problems (Instructors only) / Test collections for exercises / Galago search engine
-
Rajashekar, T.B.; Croft, W.B.: Combining automatic and manual index representations in probabilistic retrieval (1995)
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- Source
- Journal of the American Society for Information Science. 46(1995) no.4, S.272-283
-
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)
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- Source
- Journal of the American Society for Information Science and technology. 53(2002) no.6, S.415-437
-
Tavakoli, L.; Zamani, H.; Scholer, F.; Croft, W.B.; Sanderson, M.: Analyzing clarification in asynchronous information-seeking conversations (2022)
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- Source
- Journal of the Association for Information Science and Technology. 73(2022) no.3, S.449-471
