The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Placing search in context: the concept revisited
Abstract
Keyword-based search engines are in widespread use today as a popular means for Web-based information retrieval. Although such systems seem deceptively simple, a considerable amount of skill is required in order to satisfy non-trivial information needs. This paper presents a new conceptual paradigm for performing search in context, that largely automates the search process, providing even non-professional users with highly relevant results. This paradigm is implemented in practice in the IntelliZap system, where search is initiated from a text query marked by the user in a document she views, and is guided by the text surrounding the marked query in that document ("the context"). The context-driven information retrieval process involves semantic keyword extraction and clustering to automatically generate new, augmented queries. The latter are submitted to a host of general and domain-specific search engines. Search results are then semantically reranked, using context. Experimental results testify that using context to guide search, effectively offers even inexperienced users an advanced search tool on the Web.
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Cites
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Placing search in context: the concept revisited
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Cited by
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Budanitsky, A., & Hirst, G. (2006) · Computational Linguistics · doi:10.1162/089120106776173093 · Cited by 1,448
A Survey of Automatic Query Expansion in Information Retrieval
Carpineto, C., & Romano, G. (2012) · ACM Computing Surveys · doi:10.1145/2071389.2071390 · Cited by 1,109
Composition in Distributional Models of Semantics
Mitchell, J., & Lapata, M. (2010) · Cognitive Science · doi:10.1111/j.1551-6709.2010.01106.x · Cited by 960
Exploratory Search: Beyond the Query-Response Paradigm
White, R. W., & Roth, R. A. (2009) · Synthesis lectures on information concepts, retrieval, and services · doi:10.2200/s00174ed1v01y200901icr003 · Cited by 632
Analysis Methods in Neural Language Processing: A Survey
Belinkov, Y., & Glass, J. (2019) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00254 · Cited by 477
Metadata
- Venue
- ACM Transactions on Information Systems
- Published
- 2002-01
- Volume
- 20
- Issue
- 1
- Pages
- 116-131
- ISSN
- 1046-8188 (ISSN-L)
- 1558-2868
- OpenAlex
- W3216404684
- Cited by
- 425
- References
- 16
- FWCI
- 12.96
- Type
- journal article
- Language
- en
- Open access
- closed
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