Spelling correction in the PubMed search engine

Wilbur, W. John; Kim, Won; Xie, Natalie

doi:10.1007/s10791-006-9002-8

Cited by 28 publications

(15 citation statements)

References 16 publications

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“…Medium search terms included typographical errors (e.g., physiotherapy progroms or resiential care) . Spelling is a great source of errors too, even in native English users of PubMed (Wilbur, Kim, & Xie, ). Examples of such orthographical errors from our data are fysiotherapy or multifactoriel intervention .…”

Section: Methodsmentioning

confidence: 99%

PubMed searches by Dutch‐speaking nursing students: The impact of language and system experience

Vanopstal

Stichele

Laureys

et al. 2012

J Am Soc Inf Sci Tec

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This study analyzes the search behavior of Dutch‐speaking nursing students with a nonnative knowledge of English who searched for information in MEDLINE/PubMed about a specific theme in nursing. We examine whether and to what extent their search efficiency is affected by their language skills. Our task‐oriented approach focuses on three stages of the information retrieval process: need articulation, query formulation, and relevance judgment. The test participants completed a pretest questionnaire, which gave us information about their overall experience with the search system and their self‐reported computer and language skills. The students were briefly introduced to the use of PubMed and MeSH (medical subject headings) before they conducted their keyword‐driven subject search. We assessed the search results in terms of recall and precision, and also analyzed the search process. After the search task, a satisfaction survey and a language test were completed. We conclude that language skills have an impact on the search results. We hypothesize that language support might improve the efficiency of searches conducted by Dutch‐speaking users of PubMed.

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Section: Methodsmentioning

confidence: 99%

PubMed searches by Dutch‐speaking nursing students: The impact of language and system experience

Vanopstal

Stichele

Laureys

et al. 2012

J Am Soc Inf Sci Tec

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“…However, this study addresses string transformation in its narrow sense, in which a part of a source string is rewritten with a substring. Typical applications of this task include stemming, lemmatization, spelling correction (Brill and Moore, 2000;Wilbur et al, 2006;Carlson and Fette, 2007), OCR error correction (Kolak and Resnik, 2002), approximate string matching (Navarro, 2001), and duplicate record detection (Bilenko and Mooney, 2003).…”

Section: Introductionmentioning

confidence: 99%

A discriminative candidate generator for string transformations

Okazaki

Tsuruoka

Ananiadou

et al. 2008

Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08

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String transformation, which maps a source string s into its desirable form t * , is related to various applications including stemming, lemmatization, and spelling correction. The essential and important step for string transformation is to generate candidates to which the given string s is likely to be transformed. This paper presents a discriminative approach for generating candidate strings. We use substring substitution rules as features and score them using an L 1-regularized logistic regression model. We also propose a procedure to generate negative instances that affect the decision boundary of the model. The advantage of this approach is that candidate strings can be enumerated by an efficient algorithm because the processes of string transformation are tractable in the model. We demonstrate the remarkable performance of the proposed method in normalizing inflected words and spelling variations.

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“…Additionally, they spent a good deal of cumulative time trying to decide if entering a P2X‐prefix term would retrieve articles related to a gene, receptor, or both—and wondering how to distinguish between the two in the retrieved titles. For misspellings, current research proposes autospelling corrections; for problems with bibliographic formatting it proposes citation builders; for term ambiguity it suggests autocompleted terms accompanied by their conceptual categories (e.g., gene, disease, process; Eaton, ; Herskovic et al., , Ramampiearo & Li, 2011; Wilbur, Kim, & Xie, ). For our users, autocorrection to spelling would have increased querying efficiency as long as the program had given students control over when to launch the query.…”

Section: Discussion: Implications For Tool Support and Their Contribumentioning

confidence: 99%

Studying PubMed usages in the field for complex problem solving: Implications for tool design

Mirel

Tonks

Song

et al. 2013

J Am Soc Inf Sci Tec

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Many recent studies on MEDLINE-based information seeking have shed light on scientists’ behaviors and associated tool innovations that may improve efficiency and effectiveness. Few if any studies, however, examine scientists’ problem-solving uses of PubMed in actual contexts of work and corresponding needs for better tool support. Addressing this gap, we conducted a field study of novice scientists (14 upper level undergraduate majors in molecular biology) as they engaged in a problem solving activity with PubMed in a laboratory setting. Findings reveal many common stages and patterns of information seeking across users as well as variations, especially variations in cognitive search styles. Based on findings, we suggest tool improvements that both confirm and qualify many results found in other recent studies. Our findings highlight the need to use results from context-rich studies to inform decisions in tool design about when to offer improved features to users.

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Spelling correction in the PubMed search engine

Cited by 28 publications

References 16 publications

PubMed searches by Dutch‐speaking nursing students: The impact of language and system experience

PubMed searches by Dutch‐speaking nursing students: The impact of language and system experience

A discriminative candidate generator for string transformations

Studying PubMed usages in the field for complex problem solving: Implications for tool design

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