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Databases, BibliographicBibliography as TopicMEDLINELibrary Technical ServicesMEDLARSCatalogingLibraries, MedicalBibliometricsPeriodicals as TopicInformation Storage and RetrievalAbstracting and Indexing as TopicInformation SystemsOnline SystemsCD-ROMPublicationsText MessagingSubject HeadingsNational Library of Medicine (U.S.)Catalogs, LibraryCatalogs, CommercialPubMedLibrary Collection DevelopmentPublishingMedical Subject HeadingsMedical IllustrationUnified Medical Language SystemLibrary ServicesGrateful MedRandomized Controlled Trials as TopicAudiovisual AidsComputer User TrainingReference BooksGovernment Publications as TopicReview Literature as TopicInternetTerminology as TopicLibrary AutomationSoftwareComputersAuthorshipNursing ResearchNatural Language ProcessingUser-Computer InterfaceIntegrated Advanced Information Management SystemsDatabases, FactualEvidence-Based MedicineInterlibrary LoansJournal Impact FactorMedical InformaticsCost-Benefit AnalysisComputer Communication NetworksData MiningUnited StatesInformation ServicesBiomedical ResearchResearchResearch DesignAlgorithmsCosts and Cost AnalysisGreat BritainMeta-Analysis as TopicTextbooks as TopicTreatment OutcomeBrazilVocabulary, ControlledQuality-Adjusted Life YearsReadingEvaluation Studies as TopicDictionaries as TopicData CollectionCellular PhoneArtificial IntelligenceHealth Services ResearchOutcome Assessment (Health Care)Risk FactorsReproducibility of ResultsAbbreviations as TopicWritingTime FactorsQuestionnairesPregnancyPharmacopoeias as TopicDocumentationQuality of LifeDatabase Management SystemsInfant, NewbornCarbohydrate SequenceCarbohydrate ConformationComprehensionLinguisticsMedical Records Systems, ComputerizedComputational BiologyPattern Recognition, AutomatedElectronic Health RecordsBooksReminder SystemsLiteratureManuscripts, MedicalProgramming LanguagesHistory, 15th Century
Sheldon KotzinCitationsEndNoteTitleFootnoteRetrievalAbstractCitationChiefMiningDetailsClinicalPublicationSummarizationAffiliationsResourcesAppearsSearchDatabasesResearchLinksAnnotationReferencesDocumentsItalicsArticlesAuthorsViewerSuccessfullyUsersApplicationsViewStructureRecordBiomedicalNewspapersResearchersTermsJournalAccessLanguageDescriptionImages
Sheldon Kotzin1
  • Editor's note: These are remarks made by Sheldon Kotzin, Chief, Bibliographic Services Division, NLM, at the Annual Meeting of the Medical Library Association in Orlando, Florida on May 28, 2001. (nih.gov)
Citations1
  • The RIS file format is a text file containing bibliographic citations. (cdc.gov)
EndNote1
  • These files are best suited for import into bibliographic management applications such as EndNote® external icon , Reference Manager® external icon , and ProCite® external icon . (cdc.gov)
Title2
  • If the name of a single-work author (like Barrett, or Anna Tregelles, or Katie Marsh) is mentioned in the text, the title of the book can be picked out from the bibliography . (victorianweb.org)
  • Bibliographic information is included with the document title. (cas.org)
Footnote1
  • indexing, footnote and bibliographic procedures. (amrita.edu)
Retrieval6
  • Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. (springer.com)
  • The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields. (springer.com)
  • Since 1988 he has carried out research in natural language processing and information retrieval, and during the last ten years he has applied these methods on text from electronic patient records, resulting in the research area clinical text mining. (springer.com)
  • Breaking down the structure of long texts into semantically coherent segments makes the texts more readable and supports downstream applications like summarization and retrieval. (arxiv.org)
  • UMLS for a variety of purposes involving the manip- described in more detail in [4], first identifies simple ulation of text, including information retrieval, index- noun phrases in free text. (nih.gov)
  • 9. Evaluation of Meta-1 for a concept-based approach to the automated indexing and retrieval of bibliographic and full-text databases. (nih.gov)
Abstract1
  • U.S. Newsstream provides full-text coverage and indexing of USA Today, February 17, 1997-present and citation/abstract coverage January 2, 1989 to present. (sdsmt.edu)
Citation3
  • Here we compare the topological consistency of citation networks extracted from six popular bibliographic databases including Web of Science , CiteSeer and arXiv.org . (nature.com)
  • Yet, despite some notable differences, the reliability of bibliographic databases is primarily seen as the accuracy of its citation information. (nature.com)
  • In this study, we compare the topological consistency of citation networks extracted from six popular bibliographic databases (see Methods). (nature.com)
Chief1
  • and Lou Knecht, Deputy Chief, Bibliographic Services Division. (nih.gov)
Mining4
  • The book's closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters. (springer.com)
  • The proposed approach combines a text mining (TM) procedure and integrative systems biology to comprehensively analyze the scientific literature to enrich AOPs related to environmental stressors. (nih.gov)
  • First, to identify relevant associations between BPS and different AOP components, a list of abstracts was screened using the developed text-mining tool AOP-helpFinder, which calculates scores based on the graph theory to prioritize the findings. (nih.gov)
  • VOSviewer also offers text mining functionality that can be used to construct and visualize co-occurrence networks of important terms extracted from a body of scientific literature. (piug.org)
Details1
  • Move beyond charts with links to details and documents, including full-text transcripts, Daubert challenges, cases, journals, news articles and much more. (lexisnexis.com)
Clinical1
  • This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. (springer.com)
Publication1
  • An electronic book or ePub is a book-length publication in digital form, consisting of text, images, or both, readable on computers or other electronic devices. (cdc.gov)
Summarization1
  • Through comprehensive experiments across language modeling, machine translation, and text summarization, we show that equipping text generation models with ENT improves generation quality over standard training and previous soft and hard truncation methods. (arxiv.org)
Affiliations1
  • PRISMA (Preferred Reporting Items for Systematic reviews and For author affiliations, see end of text. (nih.gov)
Resources3
  • Text features of resources are almost always presented alphabetically, and the number of items in these alphabetical lists sometimes can be very long. (dlib.org)
  • indexing, full text, and bibliographic links to resources. (sdsmt.edu)
  • Materials range from bibliographic databases to full-text resources, images, and sound recordings. (academicinfo.net)
Appears1
Search2
  • Or you can search just the bibliographic data from the document summaries. (cdc.gov)
  • The system allowed free text search with a controllable vocabulary. (cdc.gov)
Databases4
  • The University of the Aegean Library, as a member of the Hellenic Academic Libraries Link (HEALLink), has access to Bibliographical Databases that link users to the full text of the articles they are interested in. (aegean.gr)
  • Access to the list of subscriptions to bibliographic databases / full-text databases of the Hellenic Academic Libraries Association (HEALLink) is provided through the HEAL-Link webpage. (aegean.gr)
  • Modern bibliographic databases provide the basis for scientific research and its evaluation. (nature.com)
  • In fact, the content and structure of modern bibliographic databases differ substantially, while there exist only informal notions on their reliability. (nature.com)
Research2
  • Zero-shot text classification (0Shot-TC) is a challenging NLU problem to which little attention has been paid by the research community. (arxiv.org)
  • This electronic text is available with prior consent of the CELT programme for purposes of private or academic research and teaching. (ucc.ie)
Links1
  • Additionally, many computer interfaces for information discovery require users to scroll through long lists, to click numerous navigational links and to read a lot of text to find the exact text they want to read. (dlib.org)
Annotation2
  • Pope's own notes to his poems are included, as well as a generous selection of the copious annotation in the Twickenham text. (google.cat)
  • 20. Distributed modules for text annotation and IE applied to the biomedical domain. (nih.gov)
References1
  • The files included data on toxicity and occupational health bibliographic references. (cdc.gov)
Documents3
  • These files contain complex documents with graphs, images, and special text that cannot be presented easily through the typical Web browser. (cdc.gov)
  • Microsoft Word is a word processing program used to create and edit text documents. (cdc.gov)
  • The full texts of the documents are made freely available when possible. (lu.se)
Italics1
  • Text in italics contains the words of the author's father, who became a navvy in 1903. (victorianweb.org)
Articles2
  • Second, full-text articles were retrieved, and assessed for inclusion. (medscape.com)
  • Third, reference lists from retrieved full-text articles were searched. (medscape.com)
Authors1
Viewer1
  • The SAS Universal Viewer enables you to view, sort, and filter SAS data sets and other simple text-based files. (cdc.gov)
Successfully1
  • Furthermore, by coupling CATS with cross-lingual word embeddings, we demonstrate its effectiveness in zero-shot language transfer: it can successfully segment texts in languages unseen in training. (arxiv.org)
Users1
  • User interfaces for digital information discovery often require users to click around and read a lot of text in order to find the text they want to read a process that is often frustrating and tedious. (dlib.org)
Applications1
  • Text in Excel files can be easily modified or copied for use in other applications. (cdc.gov)
View1
  • You or your institution may need to have a subscription with the publisher in order to view the full text. (cas.org)
Structure1
  • 1. The interaction of domain knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text. (nih.gov)
Record1
  • MARC Bibliographic Record: Big Sandy news-recorder. (loc.gov)
Biomedical3
  • 10. A concept-driven biomedical knowledge extraction and visualization framework for conceptualization of text corpora. (nih.gov)
  • 12. Recognizing names in biomedical texts: a machine learning approach. (nih.gov)
  • 14. Integrating a hypernymic proposition interpreter into a semantic processor for biomedical texts. (nih.gov)
Newspapers1
  • The newspapers can be searched (full text), browsed (by series) or accessed by date . (nzdl.org)
Researchers1
  • The algorithm first identifies researchers are increasingly addressing the problems noun phrases in the input text and then maps to con- inherent in manipulating free text. (nih.gov)
Terms1
  • We then explicitly analyzed co-mention of the terms BPS and obesity by data integration and manual curation of the full text of the publications. (nih.gov)
Journal1
  • European patent law, the Official Journal and other legal texts. (epo.org)
Access1
Language1
  • Language: [EN] The poem is in English. (ucc.ie)
Description1
  • A text description of this figure is also available. (cdc.gov)
Images1
  • Text-to-image diffusion models often make implicit assumptions about the world when generating images. (arxiv.org)